Michelle Witkop

1.5k citations
52 papers · 1.1k · h-index 19

Impact in

  • Hematology top 1%
    • Hemophilia Treatment and Research
    • Blood Coagulation and Thrombosis Mechanisms
    • Platelet Disorders and Treatments
  • Genetics top 10%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Virus-based gene therapy research

Papers in

    • Hemophilia Treatment and Research 44
    • Chronic Myeloid Leukemia Treatments 2
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4

Michelle Witkop

49 papers receiving 1.1k citations

Peers

Michelle Witkop
Comparison fields: 5 of 58
  • Hematology 919
  • Genetics 80
  • Speech and Hearing 29
  • Applied Psychology 11
  • Emergency Medicine 18
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Citations per field
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Citations per year

Countries citing papers authored by Michelle Witkop

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Witkop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017103
2 2015100
3 201878
4 201176
5 201173
6 201551
7 201147
8 201445
9 201842
10 201742
11 201937
12 202134
13 201831
14 201726
15 201626
16 201721
17 201719
18 201519
19 202118
20 202417

About Michelle Witkop

Michelle Witkop is a scholar working on Hematology, Genetics, General Health Professions, Speech and Hearing and Surgery, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (44 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Adolescent and Pediatric Healthcare (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Case Reports on Hematomas (2 papers), FinTech, Crowdfunding, Digital Finance (2 papers), Primary Care and Health Outcomes (2 papers) and Pharmaceutical studies and practices (2 papers). The work is most often cited by research in Hematology (919 citations), Genetics (80 citations), Speech and Hearing (29 citations), Applied Psychology (11 citations) and Emergency Medicine (18 citations). Michelle Witkop has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Angela Lambing, David L. Cooper, Tyler W. Buckner, Bartholomew J. Tortella, Terry L. Anderson, Michael Recht, George Divine, Michael Wang, Angela Forsyth and David Rushlow. Their work appears in journals such as Haemophilia, Blood, European Journal Of Haematology, American Journal of Hematology and Patient Preference and Adherence.

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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