Gary Vanasse

2.0k citations
32 papers · 846 · h-index 15

Impact in

  • Hematology top 5%
    • Iron Metabolism and Disorders
    • Chronic Myeloid Leukemia Treatments
    • Erythropoietin and Anemia Treatment
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Hemoglobinopathies and Related Disorders

Papers in

    • Chronic Myeloid Leukemia Treatments 5
    • Erythropoietin and Anemia Treatment 4
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 5
    • Chronic Lymphocytic Leukemia Research 4

Gary Vanasse

32 papers receiving 826 citations

Peers

Gary Vanasse
Comparison fields: 5 of 84
  • Hematology 268
  • Genetics 215
  • Emergency Medicine 101
  • Virology 42
  • Pathology and Forensic Medicine 115
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Yu‐Min Shen United States
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Citations per field
00.5×3.8×
Yu‐Min Shen · 1×
Citations per year

Countries citing papers authored by Gary Vanasse

Since Specialization
Citations

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

Fields of papers citing papers by Gary Vanasse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012166
2 199997
3 201195
4 199984
5 201080
6 200870
7 201521
8 200418
9 201118
10 200217
11 199016
12 200716
13 201915
14 200615
15 202114
16 201113
17 201913
18 201312
19 199012
20 199111

About Gary Vanasse

Gary Vanasse is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Molecular Biology and Oncology, having authored 32 papers that have together received 846 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Chronic Myeloid Leukemia Treatments (5 papers), Click Chemistry and Applications (4 papers), Erythropoietin and Anemia Treatment (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cancer Mechanisms and Therapy (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (268 citations), Genetics (215 citations), Emergency Medicine (101 citations), Virology (42 citations) and Pathology and Forensic Medicine (115 citations). Gary Vanasse has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Nancy Berliner, Dennis M. Willerford, Patrick Concannon, Reena L. Pande, Todd S. Perlstein, Christine M. Distèche, Xiaomei Ma, Matthew S. Freiberg, Yun Wang and Brenda Cartmel. Their work appears in journals such as Blood, British Journal of Haematology, Cancer Research, HemaSphere and Journal of Clinical Investigation.

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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