Mark Vossler
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments 1
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 1
- Protein Kinase Regulation and GTPase Signaling 1
- Physiology top 10%
- Erythrocyte Function and Pathophysiology 1
- Immunology and Allergy top 10%
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- Heart Failure Treatment and Management 2
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- Blood properties and coagulation 1
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- Chronic Disease Management Strategies 1
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- Transplantation: Methods and Outcomes 1
- Co-authors
- Hong YaoRandall D. YorkMinggui PanPhilip A. StorkHanyu NiRay E. HershbergerJason D. EverettDeirdre Nauman
- Journals
- Journal of Cellular Biochemistry (1 paper)Cell (1 paper)Journal of Cardiac Failure (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Mark Vossler
6 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Transplantation 51
- Cellular and Molecular Neuroscience 295
- Molecular Biology 728
- Physiology 37
- Immunology and Allergy 49
Countries citing papers authored by Mark Vossler
This map shows the geographic impact of Mark Vossler'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 Mark Vossler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Vossler more than expected).
Fields of papers citing papers by Mark Vossler
This network shows the impact of papers produced by Mark Vossler. 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 Mark Vossler. The network helps show where Mark Vossler may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Mark Vossler, 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 | 2002 | 59 | |
| 2 | 2001 | 56 | |
| 3 | cAMP Activates MAP Kinase and Elk-1 through a B-Raf- and Rap1-Dependent Pathwaybreakdown → | 1997 | 942 |
| 4 | 1997 | 3 | |
| 5 | Detection of a circulating tumor-associated antigen with a murine monoclonal antibody, LISA 101, selected by reversed indirect enzyme-linked immunosorbent assay. | 1989 | 22 |
| 6 | 1987 | 4 |
About Mark Vossler
Mark Vossler is a scholar working on Family Practice, Transplantation and Genetics, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (2 papers), Glycosylation and Glycoproteins Research (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Blood properties and coagulation (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), Chronic Disease Management Strategies (1 paper), Erythrocyte Function and Pathophysiology (1 paper) and Transplantation: Methods and Outcomes (1 paper). The work is most often cited by research in Transplantation (51 citations), Cellular and Molecular Neuroscience (295 citations) and Molecular Biology (728 citations). Mark Vossler has collaborated with scholars based in United States and Japan. Frequent co-authors include Hong Yao, Randall D. York, Minggui Pan, Philip A. Stork, Hanyu Ni, Ray E. Hershberger, Jason D. Everett, Deirdre Nauman, Donna R. Burgess and Kendra Wise. Their work appears in journals such as Journal of Cellular Biochemistry, Cell, Journal of Cardiac Failure, The Journal of Heart and Lung Transplantation and Immunology and Allergy Clinics of North America.
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.