Arvind Dev

1.0k citations
20 papers · 763 · h-index 12

Impact in

Papers in

    • Erythrocyte Function and Pathophysiology 11
    • Kruppel-like factors research 2
    • RNA Research and Splicing 2

Arvind Dev

20 papers receiving 741 citations

Peers

Arvind Dev
Comparison fields: 5 of 57
  • Reproductive Medicine 196
  • Genetics 111
  • Public Health, Environmental and Occupational Health 246
  • Molecular Biology 521
  • Hematology 69
Replace Stefano Comazzetto with:
Stefano Comazzetto United States
Kurt Jacobs Belgium
Denise C. Miles Australia
Fanyi Zeng China
Miyuri Kawasumi Japan
G. Bourrouillou France
Yitzhak Reizel Israel
Paolo Guanciali‐Franchi Italy
Toru Arase Japan
Arnaud Depaux France
Arvind Dev relative to Stefano Comazzetto United States Stefano Comazzetto's profile →
Citations per field
00.5×2.9×
Stefano Comazzetto · 1×
Citations per year

Countries citing papers authored by Arvind Dev

Since Specialization
Citations

This map shows the geographic impact of Arvind Dev'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 Arvind Dev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Dev more than expected).

Fields of papers citing papers by Arvind Dev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arvind Dev. 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 Arvind Dev. The network helps show where Arvind Dev may publish in the future.

Co-authors

The 25 scholars most cited alongside Arvind Dev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arvind Dev Line = papers co-authored together Arvind Dev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2006379
2
Putative human male germ cells from bone marrow stem cells.
200777
3 200856
4 200647
5 201043
6 201027
7 200825
8 200722
9 201320
10 200715
11 201215
12 201211
13 20078
14 20177
15
From stem cells to germ cells and from germ cells to stem cells
20073
16 20142
17 20082
18 20092
19 20081
20 20121

About Arvind Dev

Arvind Dev is a scholar working on Physiology, Molecular Biology, Pulmonary and Respiratory Medicine, Reproductive Medicine and Genetics, having authored 20 papers that have together received 763 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (11 papers), Sperm and Testicular Function (5 papers), Blood properties and coagulation (4 papers), Reproductive Biology and Fertility (3 papers), Kruppel-like factors research (2 papers), Phagocytosis and Immune Regulation (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Reproductive Medicine (196 citations), Genetics (111 citations), Public Health, Environmental and Occupational Health (246 citations), Molecular Biology (521 citations) and Hematology (69 citations). Arvind Dev has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Karim Nayernia, Wolfgang Engel, Don M. Wojchowski, Gerald Wulf, Jessica Nolte, Jae Ho Lee, Nadja Drusenheimer, Andreas Meinhardt, Pradeep Sathyanarayana and Hans Wilhelm Michelmann. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Molecular Human Reproduction, Current Opinion in Hematology and Human Molecular Genetics.

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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