Patee Gesuwan

2.6k total citations
7 papers, 121 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 121 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 Rhonda E. Ries, Daniela S. Gerhard, Jaime M. Guidry Auvil, Jason E. Farrar, Alan S. Gamis, Tanja M. Davidsen, Malcolm A. Smith, Soheil Meshinchi, Donna M. Muzny and Oliver Hampton and has published in prestigious journals such as Blood and Cancer Research.

In The Last Decade

Patee Gesuwan

7 papers receiving 121 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Patee Gesuwan United States	4	93	68	45	27	13	7	121
André Bortolini Silveira Brazil	5	35 0.4×	69 1.0×	16 0.4×	39 1.4×	28 2.2×	5	120
Mariangela Greco Italy	6	85 0.9×	102 1.5×	22 0.5×	29 1.1×	17 1.3×	14	148
Claudia Lanauze United States	2	28 0.3×	110 1.6×	13 0.3×	18 0.7×	20 1.5×	2	142
Yvonne J.M Oussoren-Brockhoff Netherlands	3	164 1.8×	64 0.9×	39 0.9×	49 1.8×	19 1.5×	4	180
Claudia Sargas Spain	5	82 0.9×	94 1.4×	19 0.4×	26 1.0×	10 0.8×	10	129
Kazuki Terada Japan	4	76 0.8×	55 0.8×	18 0.4×	32 1.2×	6 0.5×	8	101
Julia Herzig Germany	4	37 0.4×	23 0.3×	13 0.3×	34 1.3×	16 1.2×	6	73
Kristen Meldi United States	4	111 1.2×	112 1.6×	20 0.4×	15 0.6×	12 0.9×	6	166
Irina Stasevich United Kingdom	5	70 0.8×	57 0.8×	28 0.6×	77 2.9×	18 1.4×	6	141
Ann-Kathrin Eisfeld United States	6	94 1.0×	89 1.3×	30 0.7×	15 0.6×	12 0.9×	6	137

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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7 of 7 papers shown

Farrar, Jason E., Rhonda E. Ries, Daniel Wai, et al.. (2016). Genomic Profiling of Pediatric Acute Myeloid Leukemia Reveals a Changing Mutational Landscape from Disease Diagnosis to Relapse. Cancer Research. 76(8). 2197–2205. 104 indexed citations

Farrar, Jason E., Hamid Bolouri, Rhonda E. Ries, et al.. (2016). Marked Differences in the Genomic Landscape of Pediatric Compared to Adult Acute Myeloid Leukemia: A Report from the Children's Oncology Group and NCI/COG Therapeutically Applicable Research to Generate Effective Treatments (TARGET) Initiative. Blood. 128(22). 595–595. 2 indexed citations

Farrar, Jason E., Todd A. Alonzo, Rhonda E. Ries, et al.. (2015). ASXL1 and ASXL2 Mutations in Childhood AML Are Strongly Associated with t(8;21) but Do Not Independently Impact on Prognosis: A Report from the Children's Oncology Group and NCI/COG Target Initiative. Blood. 126(23). 2587–2587. 1 indexed citations

Ries, Rhonda E., Todd A. Alonzo, Robert B. Gerbing, et al.. (2012). Clinically Significant Mutations, Deletions and Translocations Involving ETV6 Identified by Whole Genome and Whole Exome Sequencing; Report From NCI/COG Target AML Initiative. Blood. 120(21). 125–125. 3 indexed citations

Meshinchi, Soheil, Rhonda E. Ries, Jason E. Farrar, et al.. (2012). Abstract LB-93: Demonstration of significant clonal evolution from diagnosis to relapse in childhood AML determined by exome capture sequencing: an NCI/COG TARGET AML study. Cancer Research. 72(8_Supplement). LB–93. 2 indexed citations

Meshinchi, Soheil, Rhonda E. Ries, Lisa R. Treviño, et al.. (2012). Identification of Novel Somatic Mutations, Regions of Recurrent Loss of Heterozygosity (LOH) and Significant Clonal Evolution From Diagnosis to Relapse in Childhood AML Determined by Exome Capture Sequencing – an NCI/COG Target AML Study. Blood. 120(21). 123–123. 5 indexed citations

Ochs, Michael F., Jason E. Farrar, Michael Considine, et al.. (2012). Genome Wide Promoter Methylation Patterns Predict AML Subtype Outcomes and Identify Novel Pathways Characterizing Diagnostic and Relapsed Disease in Children. Blood. 120(21). 1287–1287. 4 indexed citations

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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