Mark Piegore
Impact in
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Hematology top 10%
- Blood Coagulation and Thrombosis Mechanisms
- Iron Metabolism and Disorders
Papers in
-
- Blood groups and transfusion 1
- Blood Coagulation and Thrombosis Mechanisms 1
- Iron Metabolism and Disorders 1
- Genetics 2
- Hemoglobinopathies and Related Disorders 2
- Co-authors
- Andra L. Blomkalns (2 shared papers)David Y. Hui (2 shared papers)Tapan K. Chatterjee (2 shared papers)David R. Manka (2 shared papers)Yaoliang Tang (2 shared papers)Daniel S. Weintraub (2 shared papers)Steven M. Rudich (2 shared papers)Anton Ilich (3 shared papers)
- Journals
- Blood (2 papers)Physiological Genomics (1 paper)Science Translational Medicine (1 paper)Journal of Biological Chemistry (1 paper)Blood Coagulation & Fibrinolysis (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Mark Piegore
7 papers receiving 488 citations
Peers
Comparison fields: 5 of 70
- Genetics 100
- Hematology 105
- Internal Medicine 22
- Cardiology and Cardiovascular Medicine 101
- Physiology 107
Countries citing papers authored by Mark Piegore
This map shows the geographic impact of Mark Piegore'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 Piegore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Piegore more than expected).
Fields of papers citing papers by Mark Piegore
This network shows the impact of papers produced by Mark Piegore. 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 Piegore. The network helps show where Mark Piegore may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Piegore, 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 | 2011 | 125 | |
| 2 | 2013 | 97 | |
| 3 | 2020 | 79 | |
| 4 | 2020 | 73 | |
| 5 | 2016 | 60 | |
| 6 | 2019 | 59 | |
| 7 | 2020 | 4 |
About Mark Piegore
Mark Piegore is a scholar working on Hematology, Genetics, Critical Care and Intensive Care Medicine, Clinical Biochemistry and Pharmacology, having authored 7 papers that have together received 497 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Adipose Tissue and Metabolism (1 paper), Blood groups and transfusion (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Cardiovascular Disease and Adiposity (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper) and Iron Metabolism and Disorders (1 paper). The work is most often cited by research in Genetics (100 citations), Hematology (105 citations), Internal Medicine (22 citations), Cardiology and Cardiovascular Medicine (101 citations) and Physiology (107 citations). Mark Piegore has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Andra L. Blomkalns, David Y. Hui, Tapan K. Chatterjee, David R. Manka, Yaoliang Tang, Daniel S. Weintraub, Steven M. Rudich, Anton Ilich, Neal L. Weintraub and Nigel S. Key. Their work appears in journals such as Blood, Physiological Genomics, Science Translational Medicine, Journal of Biological Chemistry and Blood Coagulation & Fibrinolysis.
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.