Mark Brantly

181 papers receiving 8.4k citations

Peers

Mark Brantly
Comparison fields: 5 of 131
  • Cancer Research 3.0k
  • Hematology 1.2k
  • Oncology 2.5k
  • Pulmonary and Respiratory Medicine 2.0k
  • Cell Biology 893
Replace Reinhard Voll with:
Reinhard Voll Germany
Florea Lupu United States
James W. Mier United States
Lopa Mishra United States
Elvira Pelosi Italy
Daniel E. Gómez Argentina
Yutaka Kondo Japan
Hiroaki Kataoka Japan
Yoshiro Niitsu Japan
Yusuke Nakamura Japan
Mark Brantly relative to Reinhard Voll Germany Reinhard Voll's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark Brantly

Since Specialization
Citations

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

Fields of papers citing papers by Mark Brantly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Brantly, 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 Brantly Line = papers co-authored together Mark Brantly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996435
2 1988394
3 2005382
4 2011265
5 2009257
6 1998244
7 1988234
8 2016228
9 1998213
10 1988180
11 1989173
12 1997170
13
Rapid, nonradioactive detection of mutations in the human genome by allele-specific amplification.
1989150
14 2002145
15 1991143
16 2006141
17 2016140
18 2013135
19 1996128
20 2000123

About Mark Brantly

Mark Brantly is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Hematology, having authored 187 papers that have together received 8.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (76 papers), Peptidase Inhibition and Analysis (40 papers), Blood Coagulation and Thrombosis Mechanisms (27 papers), Virus-based gene therapy research (15 papers), Endoplasmic Reticulum Stress and Disease (13 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers), Insect Resistance and Genetics (11 papers) and Pulmonary Hypertension Research and Treatments (11 papers). The work is most often cited by research in Cancer Research (3.0k citations), Hematology (1.2k citations), Oncology (2.5k citations), Pulmonary and Respiratory Medicine (2.0k citations) and Cell Biology (893 citations). Mark Brantly has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Ronald G. Crystal, Toshihiro Nukiwa, James K. Stoller, Farshid N. Rouhani, Terence R. Flotte, Mark Holmes, Michael Courtney, David T. Curiel, Charlie Strange and Noel G. McElvaney. Their work appears in journals such as CHEST Journal, Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation, COPD Journal of Chronic Obstructive Pulmonary Disease, PLoS ONE and American Journal of Respiratory Cell and Molecular Biology.

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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