Glenochrysa gloriosa

* Glenochrysa gloriosa (Navás, 1931) Cintameva gloriosa Navás, 1931b: 85. Type locality: India (Maharashtra: Bandra). Indian distribution: Maharashtra: Mumbai Suburban Dist.: Bandra (suburb) (Navás 1931b: 86; Sala de Castellarnau 1946: 122; Ghosh & Sen 1977: 296; Ghosh 1983a: 83; Sharma & Chandra 2012: 486; Singh et al. 2020: 504). World distribution: India (Navás 1931b: 86; Oswald 2024a).

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-06
DOI
https://doi.org/10.5281/zenodo.14588438
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Glenochrysa gloriosa

Zenodo (CERN European Organization for Nuclear Research)
Sepsis Diagnosis and Treatment
article

Glenochrysa gloriosa

article en

Abstract

* Glenochrysa gloriosa (Navás, 1931) Cintameva gloriosa Navás, 1931b: 85. Type locality: India (Maharashtra: Bandra). Indian distribution: Maharashtra: Mumbai Suburban Dist.: Bandra (suburb) (Navás 1931b: 86; Sala de Castellarnau 1946: 122; Ghosh & Sen 1977: 296; Ghosh 1983a: 83; Sharma & Chandra 2012: 486; Singh et al. 2020: 504). World distribution: India (Navás 1931b: 86; Oswald 2024a).

Zenodo (CERN European Organization for Nuclear Research)
Government Medical College (IN), Yahoo (United Kingdom) (GB), Zoological Survey of India (IN), Guizhou University (CN), Central Institute of Temperate Horticulture (IN), Texas A&M University (US)
Openalex Percentile: Top 51%
Sepsis Diagnosis and Treatment
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.