Mark Rogge

2.6k citations
64 papers · 2.2k · h-index 26

Impact in

Papers in

Mark Rogge

61 papers receiving 2.0k citations

Peers

Mark Rogge
Comparison fields: 5 of 124
  • Pharmaceutical Science 426
  • Molecular Medicine 156
  • Pharmacology 444
  • Pharmacology 139
  • Analytical Chemistry 125
Replace Wen Chyi Shyu with:
Wen Chyi Shyu United States
Lynda R. Wiseman New Zealand
Susan K. Paulson United States
Paul S. Collier United Kingdom
J. Paul Monk United States
Hans Georg Eichler Austria
Jos G. W. Kosterink Netherlands
Walid M. Awni United States
Marco Siccardi United Kingdom
Yoshitaka Yano Japan
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Citations per field
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Wen Chyi Shyu · 1×
Citations per year

Countries citing papers authored by Mark Rogge

Since Specialization
Citations

This map shows the geographic impact of Mark Rogge'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 Rogge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Rogge more than expected).

Fields of papers citing papers by Mark Rogge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Rogge. 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 Rogge. The network helps show where Mark Rogge may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Rogge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Rogge Line = papers co-authored together Mark Rogge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992338
2 1997197
3 1993127
4 1992125
5 2019117
6 2011100
7 199780
8 201573
9 200673
10 198960
11 200754
12 199750
13 199348
14 198445
15 198844
16 199442
17 199742
18
Immunomodulation by LFA3TIP, an LFA-3/IgG1 fusion protein: cell line dependent glycosylation effects on pharmacokinetics and pharmacodynamic markers.
199542
19 201440
20 198436

About Mark Rogge

Mark Rogge is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health, Immunology, Molecular Biology and Oncology, having authored 64 papers that have together received 2.2k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (14 papers), Pharmaceutical studies and practices (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), T-cell and B-cell Immunology (5 papers), Statistical Methods in Clinical Trials (5 papers), Pharmacological Effects and Toxicity Studies (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). The work is most often cited by research in Pharmaceutical Science (426 citations), Molecular Medicine (156 citations), Pharmacology (444 citations), Pharmacology (139 citations) and Analytical Chemistry (125 citations). Mark Rogge has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include William N. Charman, Frank J. Dutko, Wei Yin, Colin W. Pouton, Terry D. Wilson, Susan A. Charman, Andrew Chow, Bruce M. Berger, Shuchean Chien and R. Rex Williams. Their work appears in journals such as The Journal of Clinical Pharmacology, Antimicrobial Agents and Chemotherapy, Clinical Pharmacology & Therapeutics, Biopharmaceutics & Drug Disposition and Journal of Pharmaceutical 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.

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