Han‐Chow E. Koh

37 total papers · 944 total citations
20 papers, 519 citations indexed

About

Han‐Chow E. Koh is a scholar working on Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Han‐Chow E. Koh has authored 20 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 5 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Han‐Chow E. Koh's work include Adipose Tissue and Metabolism (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Han‐Chow E. Koh is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Han‐Chow E. Koh collaborates with scholars based in United States, Singapore and Denmark. Han‐Chow E. Koh's co-authors include Gerald Tan, Bettina Mittendorfer, Richard Laforest, Robert J. Gropler, Stephan van Vliet, Sanjay Khanna, Bruce W. Patterson, Samuel Klein, Fengli Jiang and Niels Ørtenblad and has published in prestigious journals such as The Journal of Physiology, JNCI Journal of the National Cancer Institute and Diabetes.

In The Last Decade

Han‐Chow E. Koh

20 papers receiving 476 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Han‐Chow E. Koh 207 87 77 69 66 20 519
Stefan Konigorski 129 0.6× 81 0.9× 82 1.1× 46 0.7× 48 0.7× 36 575
A. Ruelland 62 0.3× 92 1.1× 41 0.5× 105 1.5× 24 0.4× 28 474
Bum Ju Lee 85 0.4× 93 1.1× 58 0.8× 87 1.3× 94 1.4× 48 590
Haochen Guan 85 0.4× 154 1.8× 55 0.7× 27 0.4× 67 1.0× 20 456
Xiang Wang 130 0.6× 122 1.4× 45 0.6× 11 0.2× 113 1.7× 45 589
Telma de Jesus Soares 66 0.3× 100 1.1× 31 0.4× 42 0.6× 23 0.3× 35 608
Kitty Rosenbrand 113 0.5× 45 0.5× 15 0.2× 30 0.4× 38 0.6× 12 565
Jieyu Zhang 128 0.6× 78 0.9× 89 1.2× 68 1.0× 42 0.6× 19 534
Raffaele Pilla 183 0.9× 120 1.4× 25 0.3× 61 0.9× 28 0.4× 29 522
Azrulhizam Shapi’i 109 0.5× 53 0.6× 47 0.6× 52 0.8× 19 0.3× 28 529

Countries citing papers authored by Han‐Chow E. Koh

Since Specialization
Citations

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

Fields of papers citing papers by Han‐Chow E. Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han‐Chow E. 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 Han‐Chow E. Koh. The network helps show where Han‐Chow E. Koh may publish in the future.

Co-authorship network of co-authors of Han‐Chow E. Koh

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

All Works

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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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