Gary Vanasse

2.0k citations
32 papers · 816 · h-index 15

Impact in

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

Papers in

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

Gary Vanasse

32 papers receiving 800 citations

Peers

Gary Vanasse
Comparison fields: 5 of 88
  • Hematology 299
  • Genetics 245
  • Virology 69
  • Emergency Medicine 132
  • Pathology and Forensic Medicine 126
Replace J. F. Johnson with:
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Citations per field
00.5×
J. F. Johnson · 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 2012160
2 201192
3 199991
4 199982
5 201077
6 200865
7 201521
8 201118
9 199016
10 200216
11 200716
12 200416
13 200615
14 201915
15 202114
16 201913
17 201312
18 199012
19 201111
20 201511

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 816 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Erythrocyte Function and Pathophysiology (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Erythropoietin and Anemia Treatment (4 papers), Click Chemistry and Applications (4 papers), Cancer Mechanisms and Therapy (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (299 citations), Genetics (245 citations), Virology (69 citations), Emergency Medicine (132 citations) and Pathology and Forensic Medicine (126 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, Brenda Cartmel, Matthew S. Freiberg and Yun Wang. Their work appears in journals such as Blood, British Journal of Haematology, Cancer Research, Journal of Clinical Investigation and HemaSphere.

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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