Targeting βiii-Tubulin and the roots of science: An interview with Richard F. Ludueña

Targeting βiii-Tubulin and the roots of science: An interview with Richard F. Ludueña Professor Emeritus Richard F. Ludueña discusses his novel theoretical framework for cancer chemotherapy, utilising CRISPR-Cas9 to target specific tubulin isotypes. He also explores his current research into the historical intersection of science and religion in the ancient Mesopotamian centres of Harran and Edessa.

Authors

Institutions

Publication Details

Journal
Open Access Government
Published
2026-04-16
DOI
https://doi.org/10.56367/oag-050-12584
Primary Topic
Ancient Near East History
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Targeting βiii-Tubulin and the roots of science: An interview with Richard F. Ludueña

Richard F. Ludueña
Open Access Government
Ancient Near East History
article

Targeting βiii-Tubulin and the roots of science: An interview with Richard F. Ludueña

Richard F. Ludueña
article en

Abstract

Targeting βiii-Tubulin and the roots of science: An interview with Richard F. Ludueña Professor Emeritus Richard F. Ludueña discusses his novel theoretical framework for cancer chemotherapy, utilising CRISPR-Cas9 to target specific tubulin isotypes. He also explores his current research into the historical intersection of science and religion in the ancient Mesopotamian centres of Harran and Edessa.

Open Access GovernmentVol. 50(1)
The University of Texas at San Antonio Health Science Center (US)
Openalex Percentile: Top 13%
Ancient Near East History
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.