Michael S. Marks
- Cell Biology top 0.05%
- melanin and skin pigmentation 53
- Cellular transport and secretion 37
- Physiology top 0.2%
- Immunology top 0.5%
- Immunotherapy and Immune Responses 15
- T-cell and B-cell Immunology 12
- Molecular Biology top 0.5%
- RNA regulation and disease 25
- Retinal Development and Disorders 17
- Glycosylation and Glycoproteins Research 13
- Nutrition and Dietetics top 0.2%
- Biochemical Analysis and Sensing Techniques 17
- Co-authors
- Graça RaposoJoanne F. BersonDawn C. HarperKeiko OzatoJuan S. BonifacinoMiguel C. SeabraAlexander C. TheosDanièle Tenza
- Cited by
- Cell BiologyPhysiologyImmunology
- Journals
- The Journal of Cell Biology (13 papers)Molecular Biology of the Cell (10 papers)Blood (10 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Michael S. Marks
137 papers receiving 12.6k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Cell Biology 5.7k
- Physiology 733
- Immunology 2.7k
- Molecular Biology 7.3k
- Nutrition and Dietetics 1.6k
Countries citing papers authored by Michael S. Marks
This map shows the geographic impact of Michael S. Marks'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 Michael S. Marks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Marks more than expected).
Fields of papers citing papers by Michael S. Marks
This network shows the impact of papers produced by Michael S. Marks. 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 Michael S. Marks. The network helps show where Michael S. Marks may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael S. Marks, 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 | 2024 | 11 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 12 | |
| 4 | 2022 | 16 | |
| 5 | 2020 | 13 | |
| 6 | 2020 | 55 | |
| 7 | 2019 | 149 | |
| 8 | 2017 | 18 | |
| 9 | 2017 | 11 | |
| 10 | 2015 | 60 | |
| 11 | 2014 | 101 | |
| 12 | 2012 | 43 | |
| 13 | 2011 | 44 | |
| 14 | 2006 | 176 | |
| 15 | 2006 | 176 | |
| 16 | 2004 | 20 | |
| 17 | 2002 | 6 | |
| 18 | 2001 | 265 | |
| 19 | 2001 | 359 | |
| 20 | 1993 | 22 |
About Michael S. Marks
Michael S. Marks is a scholar working on Cell Biology, Immunology, Molecular Biology, Nutrition and Dietetics and Physiology, having authored 140 papers that have together received 12.8k indexed citations. Recurring topics across this work include melanin and skin pigmentation (53 papers), Cellular transport and secretion (37 papers), RNA regulation and disease (25 papers), Retinal Development and Disorders (17 papers), Biochemical Analysis and Sensing Techniques (17 papers), Immunotherapy and Immune Responses (15 papers), Glycosylation and Glycoproteins Research (13 papers) and T-cell and B-cell Immunology (12 papers). The work is most often cited by research in Cell Biology (5.7k citations), Physiology (733 citations), Immunology (2.7k citations), Molecular Biology (7.3k citations) and Nutrition and Dietetics (1.6k citations). Michael S. Marks has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Graça Raposo, Joanne F. Berson, Dawn C. Harper, Keiko Ozato, Juan S. Bonifacino, Miguel C. Seabra, Alexander C. Theos, Danièle Tenza, Danielle Tenza and Peter Cresswell. Their work appears in journals such as The Journal of Cell Biology, Molecular Biology of the Cell, Blood, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.
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.