Gary Park

1.2k citations
30 papers · 417 · h-index 13

Impact in

  • Hematology top 10%
    • Blood Coagulation and Thrombosis Mechanisms
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

Gary Park

29 papers receiving 398 citations

Peers

Gary Park
Comparison fields: 5 of 92
  • Hematology 95
  • Genetics 64
  • Transplantation 13
  • Organic Chemistry 105
  • Pharmaceutical Science 20
Replace Hans-Peter Gschwind with:
Hans-Peter Gschwind Switzerland
Barbara Schüler United States
Hideo Okonogi Japan
Michael W. Lago United States
Awni M. Sarrif United States
Ruchi Saxena India
Nandi J. Reddy United States
Adam D. Shilling United States
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Gary Park relative to Hans-Peter Gschwind Switzerland Hans-Peter Gschwind's profile →
Citations per field
00.5×6.5×
Hans-Peter Gschwind · 1×
Citations per year

Countries citing papers authored by Gary Park

Since Specialization
Citations

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

Fields of papers citing papers by Gary Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201075
2 199932
3 200230
4 199630
5 200828
6 200321
7 200420
8 200318
9 200216
10 201216
11 201616
12 200214
13 200913
14 200312
15 200210
16 200910
17 19939
18 20099
19 20018
20 20236

About Gary Park

Gary Park is a scholar working on Hematology, Molecular Biology, Immunology, Genetics and Oncology, having authored 30 papers that have together received 417 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (10 papers), Cytokine Signaling Pathways and Interactions (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Mast cells and histamine (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Vitamin K Research Studies (3 papers), Protease and Inhibitor Mechanisms (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Hematology (95 citations), Genetics (64 citations), Transplantation (13 citations), Organic Chemistry (105 citations) and Pharmaceutical Science (20 citations). Gary Park has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Robert M. Scarborough, Uma Sinha, Muhammad Baluom, Paul Wong, Bing‐Yan Zhu, Rajinder Singh, David J. Sweeny, Weiqun Li, Elliott B. Grossbard and Wenwen Ma. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Transplantation, Cancer Research, ACS Medicinal Chemistry Letters and Blood.

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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