John Kauh

12.1k citations
106 papers · 3.0k · h-index 28

Impact in

  • Hepatology top 1%
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Oncology top 2%
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Colorectal Cancer Treatments and Studies 10
    • Cancer Immunotherapy and Biomarkers 10
    • Lung Cancer Research Studies 9
    • Pancreatic and Hepatic Oncology Research 9
    • Hepatocellular Carcinoma Treatment and Prognosis 21

John Kauh

104 papers receiving 3.0k citations

Peers

John Kauh
Comparison fields: 5 of 89
  • Hepatology 799
  • Oncology 1.1k
  • Pathology and Forensic Medicine 321
  • Cancer Research 255
  • Molecular Biology 939
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Citations per field
00.5×1.5×2.3×
Thomas A. Abrams · 1×
Citations per year

Countries citing papers authored by John Kauh

Since Specialization
Citations

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

Fields of papers citing papers by John Kauh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011234
2 2010177
3 2002168
4 2013162
5 2009152
6 2015140
7 2011110
8 2012109
9 2012100
10 200684
11 200984
12 201782
13 200980
14 200873
15 201264
16 201462
17 201361
18 201659
19 201051
20 201039

About John Kauh

John Kauh is a scholar working on Oncology, Hepatology, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 106 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (21 papers), Colorectal Cancer Treatments and Studies (10 papers), Cancer Immunotherapy and Biomarkers (10 papers), Neuroblastoma Research and Treatments (9 papers), Lung Cancer Research Studies (9 papers), Pancreatic and Hepatic Oncology Research (9 papers), Lung Cancer Treatments and Mutations (9 papers) and Neuroendocrine Tumor Research Advances (8 papers). The work is most often cited by research in Hepatology (799 citations), Oncology (1.1k citations), Pathology and Forensic Medicine (321 citations), Cancer Research (255 citations) and Molecular Biology (939 citations). John Kauh has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David A. Kooby, Hyun S. Kim, Bassel F. El‐Rayes, Charles A. Staley, Renumathy Dhanasekaran, Fadlo R. Khuri, Shi‐Yong Sun, Zhengjia Chen, Bert H. O’Neil and Shishir K. Maithel. Their work appears in journals such as Journal of Clinical Oncology, Journal of Vascular and Interventional Radiology, Cancer, Annals of Oncology and Investigational New Drugs.

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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