Tenshang Joh

1.3k total citations
32 papers, 1.0k citations indexed

About

Tenshang Joh is a scholar working on Oncology, Immunology and Surgery. According to data from OpenAlex, Tenshang Joh has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 13 papers in Immunology and 10 papers in Surgery. Recurrent topics in Tenshang Joh's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Lipoproteins and Cardiovascular Health (6 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Tenshang Joh is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Lipoproteins and Cardiovascular Health (6 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Tenshang Joh collaborates with scholars based in United States, Japan and Netherlands. Tenshang Joh's co-authors include Matthew D. Linnik, Donald G. Albert, Jenny Heathcote, Jay H. Hoofnagle, Myron J. Tong, William M. Lee, Paul J. Pockros, K. Rajender Reddy, Vibeke Strand and Daniel J. Wallace and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Journal of the American College of Cardiology.

In The Last Decade

Tenshang Joh

30 papers receiving 977 citations

Peers

Tenshang Joh
Comparison fields: 5 of 60
  • Immunology 394
  • Rheumatology 345
  • Hepatology 295
  • Epidemiology 273
  • Oncology 251
Replace Zakera Shums with:
Zakera Shums United States
F Invernizzi Italy
Mo-Yin Mok Hong Kong
Allison Luo United States
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L Rönnblom Sweden
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Katayoun Jondeau France
Zakera Shums United States View profile →
Citations per field, relative to Tenshang Joh
Tenshang Joh · 1×
Citations per year, relative to Tenshang Joh
Tenshang Joh · 1×

Countries citing papers authored by Tenshang Joh

Since Specialization
Citations

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

Fields of papers citing papers by Tenshang Joh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tenshang Joh

This figure shows the co-authorship network connecting the top 25 collaborators of Tenshang Joh. A scholar is included among the top collaborators of Tenshang Joh 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 Tenshang Joh. Tenshang Joh 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 1
2 10
3 145
4 27
5 13
6 15
7 14
8 2
9 10
10 12
11 22
12 15
13 4
14 107
15 162
16
Concomitant medication use in a large, international, multicenter, placebo controlled trial of anakinra, a recombinant interleukin 1 receptor antagonist, in patients with rheumatoid arthritis.
29
17
Safety Of Combination Therapy With Anakinra And Etanercept In Patients With Rheumatoid Arthritis.
23
18 49
19
Multiple parapapillary choledochoduodenal fistulas with ampullary carcinoma.
3
20 0

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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