Mark Shapiro

21 papers receiving 807 citations

Peers

Mark Shapiro
Comparison fields: 5 of 45
  • Hematology 328
  • Pathology and Forensic Medicine 136
  • Radiology, Nuclear Medicine and Imaging 119
  • Oncology 66
  • Genetics 24
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Ni‐Chun Tsai United States
Hari Menon India
Cécile Borel France
Yogesh S. Jethava United States
Alain Sadoun France
Phillip Barnette United States
Andrej Vranovský Netherlands
Rosaria Sancetta Italy
Stefano Volpetti Italy
Hitoji Uchiyama Japan
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Citations per year

Countries citing papers authored by Mark Shapiro

Since Specialization
Citations

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

Fields of papers citing papers by Mark Shapiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010285
2 201192
3 201676
4 201572
5 201858
6 201538
7 201633
8 201431
9 201627
10 200826
11 200624
12 201221
13 201720
14 19947
15 20167
16
Assessment of Early Molecular Response As a Predictor of Long-Term Clinical Outcomes in the Phase 3 BELA Study
20125
17 20163
18 20122
19 20162
20 20141

About Mark Shapiro

Mark Shapiro is a scholar working on Hematology, Pathology and Forensic Medicine, Economics and Econometrics, Genetics and Statistics and Probability, having authored 21 papers that have together received 831 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (13 papers), Lymphoma Diagnosis and Treatment (3 papers), Economic and Financial Impacts of Cancer (2 papers), Lung Cancer Treatments and Mutations (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and HIV/AIDS Research and Interventions (1 paper). The work is most often cited by research in Hematology (328 citations), Pathology and Forensic Medicine (136 citations), Radiology, Nuclear Medicine and Imaging (119 citations), Oncology (66 citations) and Genetics (24 citations). Mark Shapiro has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Jörge E. Cortes, Carlo B Gambacorti-Passerini, Hagop M. Kantarjian, Tim H. Brümmendorf, Eva Giné, Anjali S. Advani, Eric P. Leip, Gregor E. G. Verhoef, Mitchell Reed Smith and Myron Stefan Czuczman. Their work appears in journals such as Blood, American Journal of Hematology, Journal of Clinical Oncology, Current Medical Research and Opinion and Clinical Therapeutics.

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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