V L Mar
Impact in
- Aging top 2%
- Physiology top 1%
- Telomeres, Telomerase, and Senescence
Papers in
-
- RNA and protein synthesis mechanisms 5
-
- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Lea Harrington (3 shared papers)Murray O. Robinson (3 shared papers)Wen Zhou (3 shared papers)W. Neal Burnette (15 shared papers)Isabel Renata de Souza Arruda (1 shared paper)Michael Bass (1 shared paper)Elaine Tuomanen (3 shared papers)Witold Cieplak (5 shared papers)
- Journals
- Infection and Immunity (5 papers)Genes & Development (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (2 papers)Science (2 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
V L Mar
22 papers receiving 2.3k citations
V L Mar's Hit Papers
Peers
Comparison fields: 5 of 84
- Aging 130
- Physiology 1.2k
- Microbiology 258
- Biotechnology 255
- Endocrinology 113
Countries citing papers authored by V L Mar
This map shows the geographic impact of V L Mar'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 V L Mar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V L Mar more than expected).
Fields of papers citing papers by V L Mar
This network shows the impact of papers produced by V L Mar. 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 V L Mar. The network helps show where V L Mar may publish in the future.
Co-authors
The 25 scholars most cited alongside V L Mar, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Telomere shortening and apoptosis in telomerase-inhibited human tumor cells Hit paper breakdown → | 1999 | 614 |
| 2 | A Mammalian Telomerase-Associated Protein Hit paper breakdown → | 1997 | 577 |
| 3 | 1997 | 400 | |
| 4 | 1992 | 111 | |
| 5 | 1988 | 102 | |
| 6 | 1995 | 96 | |
| 7 | 1992 | 75 | |
| 8 | 1997 | 71 | |
| 9 | 1991 | 61 | |
| 10 | 1988 | 58 | |
| 11 | 2012 | 53 | |
| 12 | 1988 | 45 | |
| 13 | 1994 | 35 | |
| 14 | 1989 | 34 | |
| 15 | 1993 | 32 | |
| 16 | 1990 | 20 | |
| 17 | 1991 | 19 | |
| 18 | 1989 | 14 | |
| 19 | 2014 | 13 | |
| 20 | 1992 | 8 |
About V L Mar
V L Mar is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Microbiology, Genetics and Infectious Diseases, having authored 23 papers that have together received 2.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Bacterial Infections and Vaccines (7 papers), RNA and protein synthesis mechanisms (5 papers), Telomeres, Telomerase, and Senescence (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Bacterial Genetics and Biotechnology (3 papers), Influenza Virus Research Studies (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Aging (130 citations), Physiology (1.2k citations), Microbiology (258 citations), Biotechnology (255 citations) and Endocrinology (113 citations). V L Mar has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Lea Harrington, Murray O. Robinson, Wen Zhou, W. Neal Burnette, Isabel Renata de Souza Arruda, Michael Bass, Elaine Tuomanen, Witold Cieplak, Jerry M. Keith and H. Robert Masure. Their work appears in journals such as Infection and Immunity, Genes & Development, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Science.
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.