John M. Higgins
Impact in
- Genetics top 0.2%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Hemoglobinopathies and Related Disorders
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Hematology top 2%
Papers in
- Physiology 30
- Erythrocyte Function and Pathophysiology 30
- Hematology 29
- Blood groups and transfusion 19
- Iron Metabolism and Disorders 8
- Co-authors
- David Altshuler (3 shared papers)Eric S. Lander (3 shared papers)S. F. Schaffner (3 shared papers)Ryk Ward (2 shared papers)Stacey Gabriel (2 shared papers)Mark J. Daly (2 shared papers)Matthew DeFelice (1 shared paper)Huy Nguyen (1 shared paper)
- Journals
- Blood (8 papers)Proceedings of the National Academy of Sciences (8 papers)American Journal of Hematology (6 papers)Nature Communications (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
John M. Higgins
72 papers receiving 8.4k citations
John M. Higgins's Hit Papers
Peers
Comparison fields: 5 of 183
- Genetics 3.3k
- Genetics 509
- Hematology 527
- Physiology 887
- Molecular Biology 2.2k
Countries citing papers authored by John M. Higgins
This map shows the geographic impact of John M. Higgins'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 John M. Higgins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Higgins more than expected).
Fields of papers citing papers by John M. Higgins
This network shows the impact of papers produced by John M. Higgins. 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 John M. Higgins. The network helps show where John M. Higgins may publish in the future.
Co-authors
The 25 scholars most cited alongside John M. Higgins, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Structure of Haplotype Blocks in the Human Genome Hit paper breakdown → | 2002 | 4533 |
| 2 | Detecting recent positive selection in the human genome from haplotype structure Hit paper breakdown → | 2002 | 1465 |
| 3 | 2011 | 264 | |
| 4 | 2002 | 229 | |
| 5 | 2020 | 177 | |
| 6 | 2007 | 146 | |
| 7 | 2008 | 142 | |
| 8 | 2013 | 131 | |
| 9 | 2016 | 100 | |
| 10 | 2012 | 100 | |
| 11 | 2012 | 95 | |
| 12 | 1975 | 86 | |
| 13 | 2015 | 81 | |
| 14 | 2010 | 66 | |
| 15 | 2014 | 65 | |
| 16 | 1974 | 60 | |
| 17 | Statistical Dynamics of Flowing Red Blood Cells by Morphological Image Processing | 2009 | 52 |
| 18 | 2011 | 48 | |
| 19 | 2022 | 47 | |
| 20 | 2015 | 42 |
About John M. Higgins
John M. Higgins is a scholar working on Physiology, Hematology, Genetics, Pulmonary and Respiratory Medicine and Epidemiology, having authored 75 papers that have together received 8.6k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (30 papers), Hemoglobinopathies and Related Disorders (25 papers), Blood groups and transfusion (19 papers), Blood properties and coagulation (19 papers), Iron Metabolism and Disorders (8 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Genetics (3.3k citations), Genetics (509 citations), Hematology (527 citations), Physiology (887 citations) and Molecular Biology (2.2k citations). John M. Higgins has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include David Altshuler, Eric S. Lander, S. F. Schaffner, Ryk Ward, Stacey Gabriel, Mark J. Daly, Matthew DeFelice, Huy Nguyen, Brendan Blumenstiel and Jamie Moore. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, American Journal of Hematology, Nature Communications and PLoS ONE.
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.