Meena Verma

503 total citations
15 papers, 391 citations indexed

About

Meena Verma is a scholar working on Oncology, Genetics and Immunology. According to data from OpenAlex, Meena Verma has authored 15 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Genetics and 4 papers in Immunology. Recurrent topics in Meena Verma's work include Genetic and phenotypic traits in livestock (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Immunotherapy and Immune Responses (2 papers). Meena Verma is often cited by papers focused on Genetic and phenotypic traits in livestock (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Immunotherapy and Immune Responses (2 papers). Meena Verma collaborates with scholars based in India, United States and Canada. Meena Verma's co-authors include Thomas M. Habermann, David J. Inwards, John M. Timmerman, Sara A. Hurvitz, Reiko Yamada, Stephen M. Ansell, Betsy LaPlant, Israel Lowy, Patricia Koenig and Charles Erlichman and has published in prestigious journals such as Blood, Journal of Virology and Clinical Cancer Research.

In The Last Decade

Meena Verma

14 papers receiving 377 citations

Peers

Meena Verma
Comparison fields: 5 of 54
  • Oncology 234
  • Immunology 195
  • Pathology and Forensic Medicine 116
  • Molecular Biology 54
  • Epidemiology 39
Replace Kikumi Hata with:
Kikumi Hata Japan
Jason Brady Australia
Michael Sanford United States
Alfons Billiau Belgium
Xiuqin Guan United States
E. Klein Sweden
Marie Christine Jacob France
Toshihiko Yoneto Japan
Felix Rosebrock Austria
Shuihong Yao China
Kikumi Hata Japan View profile →
Citations per field, relative to Meena Verma
Meena Verma · 1×
Citations per year, relative to Meena Verma
Meena Verma · 1×

Countries citing papers authored by Meena Verma

Since Specialization
Citations

This map shows the geographic impact of Meena Verma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Meena Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meena Verma more than expected).

Fields of papers citing papers by Meena Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meena Verma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Meena Verma. The network helps show where Meena Verma may publish in the future.

Co-authorship network of co-authors of Meena Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Meena Verma. A scholar is included among the top collaborators of Meena Verma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meena Verma. Meena Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2 1
3
Caesarean section of non-descript cattle due to conjoined twins (dicephalus thoracopagus tetrabrachius tetrapus) monster calves: a case report.
0
4
Dystocia due to fetal anasarca in sheep - a case report.
1
5 38
6 1
7 3
8 34
9 16
10 13
11 263
12 4
13 13
14
Biochemical characteristics of semen of crossbred bull.
1
15
Physico-morphological characteristics of semen of crossbred bulls having varying levels of exotic and indigenous inheritance.
2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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