Patee Gesuwan

49 total papers · 2.6k total citations
7 papers, 120 citations indexed

About

Patee Gesuwan is a scholar working on Hematology, Molecular Biology and Cancer Research. According to data from OpenAlex, Patee Gesuwan has authored 7 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 5 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Patee Gesuwan's work include Acute Myeloid Leukemia Research (7 papers), Cancer Genomics and Diagnostics (5 papers) and Protein Degradation and Inhibitors (3 papers). Patee Gesuwan is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Cancer Genomics and Diagnostics (5 papers) and Protein Degradation and Inhibitors (3 papers). Patee Gesuwan collaborates with scholars based in United States, Canada and Switzerland. Patee Gesuwan's co-authors include Alan S. Gamis, Soheil Meshinchi, Lisa R. Treviño, Jason E. Farrar, Rhonda E. Ries, Todd A. Alonzo, Malcolm A. Smith, David A. Wheeler, Jaime M. Guidry Auvil and Donna M. Muzny and has published in prestigious journals such as Blood and Cancer Research.

In The Last Decade

Patee Gesuwan

7 papers receiving 120 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Patee Gesuwan 93 68 45 27 13 7 120
William C. Wilson 36 0.4× 160 2.4× 22 0.5× 16 0.6× 10 0.8× 10 223
André Bortolini Silveira 35 0.4× 67 1.0× 16 0.4× 39 1.4× 28 2.2× 5 118
Claudia Sargas 78 0.8× 92 1.4× 17 0.4× 23 0.9× 10 0.8× 10 124
Jutta Ortiz-Tánchez 85 0.9× 155 2.3× 33 0.7× 23 0.9× 39 3.0× 8 242
H. J. Dickinson 44 0.5× 25 0.4× 17 0.4× 21 0.8× 11 0.8× 9 104
Kazuki Terada 76 0.8× 54 0.8× 18 0.4× 32 1.2× 6 0.5× 8 100
Irina Stasevich 70 0.8× 57 0.8× 28 0.6× 77 2.9× 18 1.4× 6 141
Aron Skaftason 50 0.5× 44 0.6× 24 0.5× 10 0.4× 9 0.7× 7 84
Julia Herzig 37 0.4× 23 0.3× 13 0.3× 34 1.3× 16 1.2× 6 72
Catherine E. Jenkins 51 0.5× 139 2.0× 59 1.3× 51 1.9× 51 3.9× 8 221

Countries citing papers authored by Patee Gesuwan

Since Specialization
Citations

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

Fields of papers citing papers by Patee Gesuwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patee Gesuwan

This figure shows the co-authorship network connecting the top 25 collaborators of Patee Gesuwan. A scholar is included among the top collaborators of Patee Gesuwan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patee Gesuwan. Patee Gesuwan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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