Ling Lan

72 papers receiving 1.2k citations

Peers

Ling Lan
Comparison fields: 5 of 106
  • Gastroenterology 82
  • Endocrinology, Diabetes and Metabolism 208
  • Pathology and Forensic Medicine 217
  • Cancer Research 158
  • Oncology 256
Replace Derun Taner Ertuğrul with:
Derun Taner Ertuğrul Türkiye
Mei Zhang China
Sukanta Ray India
Çiğdem Çelikel Türkiye
Rafael Velázquez‐Cruz Mexico
Mark K. Wedel United States
Maria Majdan Poland
Stefania Angioletti Italy
Gül Bahtiyar United States
Nuri Çakır Türkiye
Ling Lan relative to Derun Taner Ertuğrul Türkiye Derun Taner Ertuğrul's profile →
Citations per field
00.5×
Derun Taner Ertuğrul · 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 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010184
2 2013106
3 200678
4 200777
5 201362
6 201551
7 201349
8 201148
9 201147
10 202030
11 202029
12 200828
13 201326
14 201926
15 201825
16 200924
17 201621
18 202219
19 201618
20 201317

About Ling Lan

Ling Lan is a scholar working on Surgery, Molecular Biology, Oncology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 77 papers that have together received 1.2k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Cancer Cells and Metastasis (6 papers), Cancer Genomics and Diagnostics (5 papers), Gastroesophageal reflux and treatments (5 papers), Genetic factors in colorectal cancer (4 papers) and Liver physiology and pathology (4 papers). The work is most often cited by research in Gastroenterology (82 citations), Endocrinology, Diabetes and Metabolism (208 citations), Pathology and Forensic Medicine (217 citations), Cancer Research (158 citations) and Oncology (256 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, Karen Petty, Norman K. Pollock, Bernard Gutin, Yanbin Dong, Inger Stallmann‐Jorgensen and Tai C. Chen. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, World Journal of Gastroenterology, OncoTargets and Therapy, BMC Anesthesiology and International Journal of Oncology.

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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