Ling Lan

65 papers receiving 1.2k citations

Peers

Ling Lan
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 243
  • Critical Care and Intensive Care Medicine 41
  • Cancer Research 102
  • Gastroenterology 48
  • Oncology 153
Replace Weiming Kang with:
Weiming Kang China
Georgios Agrogiannis Greece
Giampiero Macarri Italy
Rolf Hultcrantz Sweden
Takanori Ito Japan
Çiğdem Çelikel Türkiye
Bei Lei Zhu China
Arlène K. van Vliet Netherlands
Siegfried Wagner Germany
Alaa Mohammed Ali United States
Ling Lan relative to Weiming Kang China Weiming Kang's profile →
Citations per field
00.5×2×3×4×4.9×
Weiming Kang · 1×
Citations per year

Countries citing papers authored by Ling Lan

Since Specialization
Citations

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

Fields of papers citing papers by Ling Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013113
2 200686
3 200781
4 202281
5 201367
6 201563
7 201154
8 201353
9 201151
10 202039
11 202034
12 202032
13 200828
14 201327
15 201826
16 200924
17 201622
18 202222
19 201320
20 201420

About Ling Lan

Ling Lan is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Cardiology and Cardiovascular Medicine, Surgery and Hepatology, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (9 papers), Helicobacter pylori-related gastroenterology studies (5 papers), Renin-Angiotensin System Studies (4 papers), Pericarditis and Cardiac Tamponade (3 papers), Cancer Cells and Metastasis (3 papers), Liver physiology and pathology (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (243 citations), Critical Care and Intensive Care Medicine (41 citations), Cancer Research (102 citations), Gastroenterology (48 citations) and Oncology (153 citations). Ling Lan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Michael Derwahl, Dai Cui, Yong Luo, Lesleyann Hawthorn, Wilfrido D. Mojica, Lili Huo, Hailing Chen, Lili Deng, Bingyin Shi and Bowei Liu. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, World Journal of Gastroenterology, International Journal of Oncology, Frontiers in Oncology and OncoTargets and Therapy.

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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