Jane Koh

2.4k citations
30 papers · 1.7k · h-index 16

Impact in

  • Hepatology top 1%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Hepatitis C virus research
    • Liver physiology and pathology
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 12
    • Pancreatic and Hepatic Oncology Research 2
    • Cancer Treatment and Pharmacology 2

Jane Koh

30 papers receiving 1.7k citations

Peers

Jane Koh
Comparison fields: 5 of 89
  • Hepatology 660
  • Epidemiology 448
  • Oncology 339
  • Cancer Research 169
  • Pathology and Forensic Medicine 166
Replace Ying‐Chun Shen with:
Ying‐Chun Shen Taiwan
M. Moscovici United States
Davide Pastorelli Italy
Zhongguo Zhou China
Yu‐Yun Shao Taiwan
Liliana Montella Italy
Ik Joo Chung South Korea
Nobuyuki Mizunuma Japan
Daniel Motola‐Kuba Mexico
Ki Mun Kang South Korea
Jane Koh relative to Ying‐Chun Shen Taiwan Ying‐Chun Shen's profile →
Citations per field
00.5×1.7×
Ying‐Chun Shen · 1×
Citations per year

Countries citing papers authored by Jane Koh

Since Specialization
Citations

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

Fields of papers citing papers by Jane Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jane Koh, 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 Jane Koh Line = papers co-authored together Jane Koh 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 2005485
2 2008253
3 2009182
4 2008160
5 2015105
6 200698
7 200872
8 200752
9 200544
10 201741
11 200534
12 201932
13 201528
14 201726
15 201724
16 202017
17 201513
18 201813
19 200411
20 200410

About Jane Koh

Jane Koh is a scholar working on Hepatology, Oncology, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Hepatitis B Virus Studies (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Genomics and Diagnostics (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Cancer Treatment and Pharmacology (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Hepatology (660 citations), Epidemiology (448 citations), Oncology (339 citations), Cancer Research (169 citations) and Pathology and Forensic Medicine (166 citations). Jane Koh has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Winnie Yeo, Frankie Mo, Tony Mok, Stephen L. Chan, Anthony T.�C. Chan, Paul B.S. Lai, Philip J. Johnson, Simon C.H. Yu, Benny Zee and Brigette Ma. Their work appears in journals such as Journal of Clinical Oncology, Cancer Management and Research, BMC Cancer, Annals of Oncology and The Oncologist.

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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