Vincent Schulz
Impact in
- Aging top 1%
- Physiology top 1%
- Erythrocyte Function and Pathophysiology
- Telomeres, Telomerase, and Senescence
Papers in
-
- RNA modifications and cancer 14
- Epigenetics and DNA Methylation 12
- Genomics and Chromatin Dynamics 11
- DNA Repair Mechanisms 7
- RNA Research and Splicing 6
- Physiology 21
- Erythrocyte Function and Pathophysiology 16
- Telomeres, Telomerase, and Senescence 5
- Co-authors
- Virginia A. Zakian (7 shared papers)Patrick G. Gallagher (41 shared papers)Jin‐Qiu Zhou (3 shared papers)Ellen K. Monson (4 shared papers)Yelena Maksimova (13 shared papers)Kimberly Lezon-Geyda (16 shared papers)David Tuck (14 shared papers)Narla Mohandas (9 shared papers)
- Journals
- Blood (20 papers)Proceedings of the National Academy of Sciences (8 papers)Nucleic Acids Research (3 papers)PLoS ONE (3 papers)Cancer Research (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Vincent Schulz
72 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 111
- Aging 168
- Physiology 1.3k
- Molecular Biology 2.5k
- Genetics 329
- Hematology 313
Countries citing papers authored by Vincent Schulz
This map shows the geographic impact of Vincent Schulz'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 Vincent Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Schulz more than expected).
Fields of papers citing papers by Vincent Schulz
This network shows the impact of papers produced by Vincent Schulz. 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 Vincent Schulz. The network helps show where Vincent Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Vincent Schulz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 325 | |
| 2 | 2012 | 317 | |
| 3 | 2014 | 250 | |
| 4 | 2002 | 241 | |
| 5 | 2000 | 205 | |
| 6 | 1996 | 184 | |
| 7 | 1996 | 160 | |
| 8 | 2014 | 142 | |
| 9 | 2012 | 137 | |
| 10 | 2017 | 94 | |
| 11 | 2017 | 93 | |
| 12 | 2015 | 85 | |
| 13 | 2008 | 83 | |
| 14 | 2012 | 82 | |
| 15 | 2009 | 81 | |
| 16 | 2013 | 70 | |
| 17 | 2011 | 69 | |
| 18 | 2022 | 66 | |
| 19 | 2014 | 62 | |
| 20 | 2011 | 58 |
About Vincent Schulz
Vincent Schulz is a scholar working on Molecular Biology, Physiology, Hematology, Immunology and Genetics, having authored 77 papers that have together received 4.1k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (16 papers), RNA modifications and cancer (14 papers), Epigenetics and DNA Methylation (12 papers), Genomics and Chromatin Dynamics (11 papers), DNA Repair Mechanisms (7 papers), Immune Cell Function and Interaction (7 papers), RNA Research and Splicing (6 papers) and Telomeres, Telomerase, and Senescence (5 papers). The work is most often cited by research in Aging (168 citations), Physiology (1.3k citations), Molecular Biology (2.5k citations), Genetics (329 citations) and Hematology (313 citations). Vincent Schulz has collaborated with scholars based in United States, China and France. Frequent co-authors include Virginia A. Zakian, Patrick G. Gallagher, Jin‐Qiu Zhou, Ellen K. Monson, Yelena Maksimova, Kimberly Lezon-Geyda, David Tuck, Narla Mohandas, Xiuli An and John McKay. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Nucleic Acids Research, PLoS ONE and Cancer Research.
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.