Predicting natural and unnatural red blood cell shape transformations

Authors

Publication Details

Journal
Scilight
Published
2024-12-04
DOI
https://doi.org/10.1063/10.0034598
Primary Topic
Digital Imaging for Blood Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting natural and unnatural red blood cell shape transformations

Hannah Daniel
Scilight
Digital Imaging for Blood Diseases
article

Predicting natural and unnatural red blood cell shape transformations

Hannah Daniel
article en

Abstract

No abstract available for this paper.
ScilightVol. 2024(49)
Openalex Percentile: Top 78%
Digital Imaging for Blood Diseases
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.

Predicting natural and unnatural red blood cell shape transformations — Hannah Daniel · Scilight (2024) | TGRS Research Map | TGRS