Yan Hang

5.8k citations
27 papers · 1.7k · h-index 19

Impact in

Papers in

    • Pancreatic function and diabetes 22
    • Diabetes and associated disorders 11
    • Genetics and Neurodevelopmental Disorders 4

Yan Hang

25 papers receiving 1.7k citations

Peers

Yan Hang
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 492
  • Surgery 1.2k
  • Genetics 732
  • Molecular Biology 753
  • Pharmacology 49
Replace Efrén Riu with:
Efrén Riu Spain
Danielle Melloul Israel
Mara Suleiman Italy
Norman Balcázar Colombia
Srividya Vasu United Kingdom
M Delannoy United States
Ho Seon Park South Korea
Yuichi Nishi Japan
Accalia Fu Canada
Jean‐Valéry Turatsinze Belgium
Yan Hang relative to Efrén Riu Spain Efrén Riu's profile →
Citations per field
00.5×4.5×
Efrén Riu · 1×
Citations per year

Countries citing papers authored by Yan Hang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Hang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010209
2 2020188
3 2006176
4 2011174
5 2011131
6 2020127
7 2017120
8 2014100
9 202081
10 200757
11 200752
12 202150
13 200842
14 200941
15 200838
16 201833
17 200928
18 201025
19 202021
20 202216

About Yan Hang

Yan Hang is a scholar working on Surgery, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (22 papers), Diabetes and associated disorders (11 papers), Genetics and Neurodevelopmental Disorders (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Diabetes Management and Research (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Diabetes Treatment and Management (2 papers) and Ginseng Biological Effects and Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (492 citations), Surgery (1.2k citations), Genetics (732 citations), Molecular Biology (753 citations) and Pharmacology (49 citations). Yan Hang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Roland Stein, Isabella Artner, Seung K. Kim, Min Guo, Alvin C. Powers, Tsunehiko Yamamoto, Mark A. Magnuson, Eva Henderson, William Jia and Roland Stein. Their work appears in journals such as Diabetes, Journal of Endocrinology, Journal of Natural Products, Nature Metabolism and Gastroenterology.

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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