Langping Jin

409 citations
13 papers · 334 · h-index 9

Impact in

Papers in

Langping Jin

12 papers receiving 332 citations

Peers

Langping Jin
Comparison fields: 5 of 45
  • Endocrinology, Diabetes and Metabolism 230
  • Surgery 58
  • Anatomy 2
  • Pathology and Forensic Medicine 19
  • Oncology 26
Replace Mongkol Boonsripitayanon with:
Mongkol Boonsripitayanon Thailand
Carla Vaz Ferreira Brazil
Giulia Sapuppo Italy
Eleonora D’Armiento Italy
Jorge Rezzónico Argentina
Zeyu Wu China
Libo Chen China
Suzan Schwertheim Germany
C. Passler Austria
Fabiana Trulli Italy
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Citations per field
00.5×10×17×
Mongkol Boonsripitayanon · 1×
Citations per year

Countries citing papers authored by Langping Jin

Since Specialization
Citations

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

Fields of papers citing papers by Langping Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201699
2 201483
3 201534
4
Risk factors target in patients with post-thyroidectomy bleeding.
201429
5 201719
6 201718
7 202015
8 201314
9
Primary thyroid T-lymphoblastic lymphoma: a case report and review of the literature.
201412
10
Effect and mechanism of the metastasis suppressor gene BRMS1 on the migration of breast cancer cells.
20136
11 20183
12 20232
13 20240

About Langping Jin

Langping Jin is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 13 papers that have together received 334 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (9 papers), Cancer-related Molecular Pathways (3 papers), Thyroid and Parathyroid Surgery (3 papers), Thyroid Disorders and Treatments (2 papers), Glutathione Transferases and Polymorphisms (1 paper), Sympathectomy and Hyperhidrosis Treatments (1 paper), Mercury impact and mitigation studies (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (230 citations), Surgery (58 citations), Anatomy (2 citations), Pathology and Forensic Medicine (19 citations) and Oncology (26 citations). Langping Jin has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Xiaohua Zhang, Yefeng Cai, Ruichao Zeng, Ouchen Wang, Yinlong Yang, Siyang Dong, Endong Chen, Yizuo Chen, Gui-Long Guo and Xiangjian Zhang. Their work appears in journals such as Medicine, Journal of Nanoparticle Research, Clinical Endocrinology, Oncotarget and Technology in Cancer Research & Treatment.

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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