Jingmei Lin

1.6k citations
82 papers · 1.1k · h-index 18

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Pancreatic and Hepatic Oncology Research 11
    • Lung Cancer Research Studies 7
    • Colorectal Cancer Treatments and Studies 6

Jingmei Lin

74 papers receiving 1.0k citations

Peers

Jingmei Lin
Comparison fields: 5 of 81
  • Hepatology 136
  • Oncology 371
  • Epidemiology 428
  • Cancer Research 162
  • Gastroenterology 56
Replace Alberto A. Diaz‐Arias with:
Alberto A. Diaz‐Arias United States
Hitoshi Kameyama Japan
Vlad Herlea Romania
M. Henar Alonso United States
J Larrauri Spain
Andrea Gardini Italy
Mitsuhiro Mukaiya Japan
Hikaru Fujioka Japan
Kengo Fukuzawa Japan
Vera Schellerer Germany
Jingmei Lin relative to Alberto A. Diaz‐Arias United States Alberto A. Diaz‐Arias's profile →
Citations per field
00.5×5.7×
Alberto A. Diaz‐Arias · 1×
Citations per year

Countries citing papers authored by Jingmei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jingmei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201368
2 201366
3 201053
4 201549
5 201846
6 201746
7 201341
8 201541
9 201240
10 201237
11 201231
12 201630
13 201421
14 201719
15 201018
16 201618
17 201618
18 201517
19 201517
20 201316

About Jingmei Lin

Jingmei Lin is a scholar working on Surgery, Oncology, Epidemiology, Pulmonary and Respiratory Medicine and Genetics, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (12 papers), Pancreatic and Hepatic Oncology Research (11 papers), Inflammatory Bowel Disease (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Gallbladder and Bile Duct Disorders (7 papers), Gastric Cancer Management and Outcomes (7 papers), Lung Cancer Research Studies (7 papers) and Colorectal Cancer Treatments and Studies (6 papers). The work is most often cited by research in Hepatology (136 citations), Oncology (371 citations), Epidemiology (428 citations), Cancer Research (162 citations) and Gastroenterology (56 citations). Jingmei Lin has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Zijin Zhao, Shaoxiong Chen, Oscar W. Cummings, Henry D. Appelman, Barbara J. McKenna, Elizabeth A. Montgomery, Thomas M. Ulbright, Xin Jing, Hwajeong Lee and Xiuli Liu. Their work appears in journals such as The American Journal of Surgical Pathology, Human Pathology, American Journal of Clinical Pathology, Applied immunohistochemistry & molecular morphology and Modern Pathology.

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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