Mark D. Ewalt

1.8k citations
31 papers · 340 indexed · h-index 12

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 6
    • Chronic Lymphocytic Leukemia Research 5
    • Acute Myeloid Leukemia Research 10
    • Chronic Myeloid Leukemia Treatments 4

Mark D. Ewalt

27 papers receiving 337 citations

Peers

Mark D. Ewalt
Comparison fields: 5 of 41
  • Hematology 137
  • Genetics 124
  • Cancer Research 57
  • Dermatology 32
  • Pathology and Forensic Medicine 62
Replace Pascaline Etancelin with:
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T Kinoshita Japan
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Citations per field
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Citations per year

Countries citing papers authored by Mark D. Ewalt

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Ewalt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200553
2 201841
3 201936
4 201827
5 201826
6 201126
7 201620
8 201417
9 201515
10 202114
11 201114
12 200512
13 20197
14 20235
15 20205
16 20234
17 20123
18 20233
19 20143
20 20212

About Mark D. Ewalt

Mark D. Ewalt is a scholar working on Genetics, Hematology, Cancer Research, Pathology and Forensic Medicine and Dermatology, having authored 31 papers that have together received 340 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (10 papers), Cancer Genomics and Diagnostics (9 papers), Lymphoma Diagnosis and Treatment (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Cutaneous lymphoproliferative disorders research (3 papers) and Eosinophilic Disorders and Syndromes (3 papers). The work is most often cited by research in Hematology (137 citations), Genetics (124 citations), Cancer Research (57 citations), Dermatology (32 citations) and Pathology and Forensic Medicine (62 citations). Mark D. Ewalt has collaborated with scholars based in United States, Canada and Qatar. Frequent co-authors include Dita Gratzinger, Annette S. Kim, Glenn D. Prestwich, Jennifer Crow, Rachel L. Sargent, Colin G. Ferguson, Robyn Temple‐Smolkin, Mrudula Pullambhatla, Or Gozani and Junying Yuan. Their work appears in journals such as Blood, Journal of Molecular Diagnostics, American Journal of Clinical Pathology, Journal of the American Academy of Dermatology and Pediatric Blood & Cancer.

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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