Christopher S. Thom
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Hematology top 5%
- Iron Metabolism and Disorders
- Platelet Disorders and Treatments
Papers in
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- Single-cell and spatial transcriptomics 3
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- Platelet Disorders and Treatments 6
- Co-authors
- Mitchell J. Weiss (6 shared papers)Claire F. Dickson (1 shared paper)David A. Gell (1 shared paper)Charles W.M. Roberts (4 shared papers)Eugene Khandros (5 shared papers)Courtney G. Sansam (3 shared papers)Phuong Nguyen (2 shared papers)Xi Wang (2 shared papers)
- Journals
- Blood (8 papers)Stem Cell Reports (2 papers)Journal of Thrombosis and Haemostasis (2 papers)Journal of Clinical Investigation (2 papers)Platelets (2 papers)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Christopher S. Thom
28 papers receiving 920 citations
Peers
Comparison fields: 5 of 96
- Genetics 245
- Hematology 195
- Pathology and Forensic Medicine 179
- Molecular Biology 468
- Physiology 156
Countries citing papers authored by Christopher S. Thom
This map shows the geographic impact of Christopher S. Thom'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 Christopher S. Thom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher S. Thom more than expected).
Fields of papers citing papers by Christopher S. Thom
This network shows the impact of papers produced by Christopher S. Thom. 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 Christopher S. Thom. The network helps show where Christopher S. Thom may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher S. Thom, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 245 | |
| 2 | 2009 | 118 | |
| 3 | 2008 | 87 | |
| 4 | 2012 | 79 | |
| 5 | 2014 | 71 | |
| 6 | 2013 | 63 | |
| 7 | 2011 | 58 | |
| 8 | 2019 | 48 | |
| 9 | 2017 | 36 | |
| 10 | 2013 | 27 | |
| 11 | 2017 | 22 | |
| 12 | 2023 | 18 | |
| 13 | 2020 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 3 |
About Christopher S. Thom
Christopher S. Thom is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Genetics, having authored 36 papers that have together received 932 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Immune Cell Function and Interaction (4 papers), Blood disorders and treatments (4 papers), Single-cell and spatial transcriptomics (3 papers), Blood transfusion and management (3 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Genetics (245 citations), Hematology (195 citations), Pathology and Forensic Medicine (179 citations), Molecular Biology (468 citations) and Physiology (156 citations). Christopher S. Thom has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Mitchell J. Weiss, Claire F. Dickson, David A. Gell, Charles W.M. Roberts, Eugene Khandros, Courtney G. Sansam, Phuong Nguyen, Xi Wang, Scott L. Pomeroy and Daniel METZGER. Their work appears in journals such as Blood, Stem Cell Reports, Journal of Thrombosis and Haemostasis, Journal of Clinical Investigation and Platelets.
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.