Frank C. Kuo

21.8k total citations · 7 hit papers
86 papers, 12.1k citations indexed

About

Frank C. Kuo is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Frank C. Kuo has authored 86 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 19 papers in Genetics and 19 papers in Pathology and Forensic Medicine. Recurrent topics in Frank C. Kuo's work include Lymphoma Diagnosis and Treatment (16 papers), Acute Myeloid Leukemia Research (14 papers) and Cancer Genomics and Diagnostics (13 papers). Frank C. Kuo is often cited by papers focused on Lymphoma Diagnosis and Treatment (16 papers), Acute Myeloid Leukemia Research (14 papers) and Cancer Genomics and Diagnostics (13 papers). Frank C. Kuo collaborates with scholars based in United States, Taiwan and India. Frank C. Kuo's co-authors include Gethin Williams, Ṭal Ilan, Yu‐Hua Tseng, Allison B. Goldfine, Edwin L. Palmer, Alessandro Doria, Gerald M. Kolodny, Aaron M. Cypess, Jeffrey Sklar and Stuart H. Orkin and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

Frank C. Kuo

85 papers receiving 11.9k citations

Hit Papers

Identification and Importance of Brown Adipos... 1994 2026 2004 2015 2009 1994 1998 2010 1996 1000 2.0k 3.0k

Peers

Frank C. Kuo
Comparison fields: 5 of 170
  • Molecular Biology 5.2k
  • Physiology 4.1k
  • Oncology 1.8k
  • Epidemiology 1.8k
  • Immunology 1.6k
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Citations per field, relative to Frank C. Kuo
Frank C. Kuo · 1×
Citations per year, relative to Frank C. Kuo
Frank C. Kuo · 1×

Countries citing papers authored by Frank C. Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Frank C. Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank C. Kuo. 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 Frank C. Kuo. The network helps show where Frank C. Kuo may publish in the future.

Co-authorship network of co-authors of Frank C. Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Frank C. Kuo. A scholar is included among the top collaborators of Frank C. Kuo 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 Frank C. Kuo. Frank C. Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 14
2 1
3 18
4 41
5 118
6 61
7 1
8 103
9 14
10 6
11 41
12 13
13 64
14
Recurrent BRAF mutations in Langerhans cell histiocytosis breakdown →
742
15 171
16
The Application of RFID in Emergency Medicine
1
17
The Development of RFID in Healthcare in Taiwan
2
18 450
19 42
20
An early haematopoietic defect in mice lacking the transcription factor GATA-2 breakdown →
1144

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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