Shan Lang
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
- Diet, Metabolism, and Disease
- Thyroid Disorders and Treatments
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- Pancreatic function and diabetes
Papers in
- Surgery 10
- Pancreatic function and diabetes 8
- Infectious Diseases and Tuberculosis 2
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- Diabetes Management and Research 3
- Diabetes Treatment and Management 3
- Co-authors
- Tianpei Hong (13 shared papers)Rui Wei (12 shared papers)Kun Yang (9 shared papers)Jin Yang (10 shared papers)Liangbiao Gu (8 shared papers)Junling Liu (7 shared papers)Yunyi Le (7 shared papers)Xiaona Cui (7 shared papers)
- Journals
- Peptides (3 papers)iScience (2 papers)PLoS ONE (2 papers)Metabolism (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Shan Lang
19 papers receiving 510 citations
Peers
Comparison fields: 5 of 59
- Endocrinology, Diabetes and Metabolism 194
- Surgery 206
- Genetics 88
- Obstetrics and Gynecology 16
- Infectious Diseases 37
Countries citing papers authored by Shan Lang
This map shows the geographic impact of Shan Lang'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 Shan Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Lang more than expected).
Fields of papers citing papers by Shan Lang
This network shows the impact of papers produced by Shan Lang. 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 Shan Lang. The network helps show where Shan Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shan Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 76 | |
| 2 | 2019 | 66 | |
| 3 | 2017 | 54 | |
| 4 | 2018 | 33 | |
| 5 | 2020 | 32 | |
| 6 | 2019 | 32 | |
| 7 | 2022 | 27 | |
| 8 | 2019 | 27 | |
| 9 | 2017 | 24 | |
| 10 | 2024 | 24 | |
| 11 | 2021 | 23 | |
| 12 | 2022 | 19 | |
| 13 | 2018 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2019 | 17 | |
| 16 | 2021 | 13 | |
| 17 | 2019 | 7 | |
| 18 | 2024 | 3 | |
| 19 | 2017 | 1 | |
| 20 | 2024 | 0 |
About Shan Lang
Shan Lang is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Infectious Diseases and Molecular Biology, having authored 20 papers that have together received 513 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Diabetes and associated disorders (4 papers), Diabetes Management and Research (3 papers), Diabetes Treatment and Management (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Infectious Diseases and Tuberculosis (2 papers), Electric Vehicles and Infrastructure (1 paper) and Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (194 citations), Surgery (206 citations), Genetics (88 citations), Obstetrics and Gynecology (16 citations) and Infectious Diseases (37 citations). Shan Lang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Tianpei Hong, Rui Wei, Kun Yang, Jin Yang, Liangbiao Gu, Junling Liu, Yunyi Le, Xiaona Cui, Haining Wang and Tianjiao Wei. Their work appears in journals such as Peptides, iScience, PLoS ONE, Metabolism and Biochemical and Biophysical Research Communications.
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.