Mark Piegore
Impact in
- Hematology top 10%
- Blood Coagulation and Thrombosis Mechanisms
- Iron Metabolism and Disorders
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
Papers in
-
- Iron Metabolism and Disorders 2
- Blood Coagulation and Thrombosis Mechanisms 2
- Hemophilia Treatment and Research 1
- Blood groups and transfusion 1
- Genetics 3
- Hemoglobinopathies and Related Disorders 3
- Co-authors
- Neal L. Weintraub (2 shared papers)Daniel S. Weintraub (2 shared papers)Yaoliang Tang (2 shared papers)David Y. Hui (2 shared papers)Andra L. Blomkalns (2 shared papers)David Manka (2 shared papers)Tapan K. Chatterjee (2 shared papers)Steven M. Rudich (2 shared papers)
- Journals
- Blood (3 papers)Blood Coagulation & Fibrinolysis (1 paper)Physiological Genomics (1 paper)Journal of Biological Chemistry (1 paper)Journal of Thrombosis and Haemostasis (1 paper)
- Partner nations
- United StatesSlovakiaGermany
In The Last Decade
Mark Piegore
7 papers receiving 385 citations
Peers
Comparison fields: 5 of 59
- Hematology 103
- Genetics 96
- Internal Medicine 21
- Cardiology and Cardiovascular Medicine 103
- Physiology 110
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 | 114 | |
| 2 | 2013 | 97 | |
| 3 | 2020 | 66 | |
| 4 | 2016 | 55 | |
| 5 | 2019 | 52 | |
| 6 | 2020 | 3 | |
| 7 | 2018 | 2 |
About Mark Piegore
Mark Piegore is a scholar working on Hematology, Genetics, Physiology, Surgery and Molecular Biology, having authored 7 papers that have together received 389 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (3 papers), Iron Metabolism and Disorders (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Hemophilia Treatment and Research (1 paper), Blood groups and transfusion (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Neonatal Health and Biochemistry (1 paper). The work is most often cited by research in Hematology (103 citations), Genetics (96 citations), Internal Medicine (21 citations), Cardiology and Cardiovascular Medicine (103 citations) and Physiology (110 citations). Mark Piegore has collaborated with scholars based in United States, Slovakia and Germany. Frequent co-authors include Neal L. Weintraub, Daniel S. Weintraub, Yaoliang Tang, David Y. Hui, Andra L. Blomkalns, David Manka, Tapan K. Chatterjee, Steven M. Rudich, Nigel S. Key and Anton Ilich. Their work appears in journals such as Blood, Blood Coagulation & Fibrinolysis, Physiological Genomics, Journal of Biological Chemistry and Journal of Thrombosis and Haemostasis.
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.