Arvind Dev
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Genetics top 10%
- Animal Genetics and Reproduction
- Mesenchymal stem cell research
Papers in
- Physiology 10
- Erythrocyte Function and Pathophysiology 10
-
- Pluripotent Stem Cells Research 2
- Kruppel-like factors research 2
- RNA Research and Splicing 2
- Co-authors
- Wolfgang Engel (6 shared papers)Karim Nayernia (7 shared papers)Don M. Wojchowski (12 shared papers)Gerald Wulf (4 shared papers)Jessica Nolte (3 shared papers)Nadja Drusenheimer (3 shared papers)Jae Ho Lee (3 shared papers)Andreas Meinhardt (4 shared papers)
- Journals
- Blood (6 papers)The Journal of Experimental Medicine (2 papers)Human Molecular Genetics (1 paper)Molecular Human Reproduction (1 paper)Experimental Hematology (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Arvind Dev
20 papers receiving 790 citations
Peers
Comparison fields: 5 of 60
- Reproductive Medicine 203
- Genetics 104
- Public Health, Environmental and Occupational Health 223
- Molecular Biology 512
- Hematology 68
Countries citing papers authored by Arvind Dev
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 417 | |
| 2 | Putative human male germ cells from bone marrow stem cells. | 2007 | 83 |
| 3 | 2008 | 57 | |
| 4 | 2006 | 48 | |
| 5 | 2010 | 44 | |
| 6 | 2008 | 32 | |
| 7 | 2010 | 28 | |
| 8 | 2013 | 23 | |
| 9 | 2007 | 22 | |
| 10 | 2007 | 15 | |
| 11 | 2012 | 15 | |
| 12 | 2012 | 11 | |
| 13 | 2007 | 9 | |
| 14 | 2017 | 7 | |
| 15 | From stem cells to germ cells and from germ cells to stem cells | 2007 | 3 |
| 16 | 2009 | 2 | |
| 17 | 2008 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2008 | 1 | |
| 20 | 2012 | 1 |
About Arvind Dev
Arvind Dev is a scholar working on Physiology, Molecular Biology, Reproductive Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 822 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (10 papers), Sperm and Testicular Function (5 papers), Blood properties and coagulation (4 papers), Reproductive Biology and Fertility (3 papers), Pluripotent Stem Cells Research (2 papers), Blood groups and transfusion (2 papers), Kruppel-like factors research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Reproductive Medicine (203 citations), Genetics (104 citations), Public Health, Environmental and Occupational Health (223 citations), Molecular Biology (512 citations) and Hematology (68 citations). Arvind Dev has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Wolfgang Engel, Karim Nayernia, Don M. Wojchowski, Gerald Wulf, Jessica Nolte, Nadja Drusenheimer, Jae Ho Lee, Andreas Meinhardt, Ingrid Ehrmann and David J. Elliott. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Human Molecular Genetics, Molecular Human Reproduction and Experimental Hematology.
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.