Langping Jin

408 citations
15 papers · 325 · h-index 9

Impact in

Papers in

Langping Jin

13 papers receiving 323 citations

Peers

Langping Jin
Comparison fields: 5 of 49
  • Endocrinology, Diabetes and Metabolism 246
  • Anesthesiology and Pain Medicine 14
  • Surgery 110
  • Health Informatics 3
  • Pathology and Forensic Medicine 34
Replace Marcos Prunello with:
Marcos Prunello Argentina
Peter P. Issa United States
Eleonora D’Armiento Italy
Maria Albuja‐Cruz United States
Benjamin Chevalier France
Albertas Daukša Lithuania
Zeyu Wu China
Giulia Sapuppo Italy
C. Passler Austria
Tarek Abdel‐Aziz United Kingdom
Langping Jin relative to Marcos Prunello Argentina Marcos Prunello's profile →
Citations per field
00.5×11.3×
Marcos Prunello · 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

15 of 15 papers shown
#Work
1 201698
2 201482
3 201533
4
Risk factors target in patients with post-thyroidectomy bleeding.
201429
5 201719
6 201715
7 201314
8 202013
9
Primary thyroid T-lymphoblastic lymphoma: a case report and review of the literature.
201411
10
Effect and mechanism of the metastasis suppressor gene BRMS1 on the migration of breast cancer cells.
20136
11 20182
12 20232
13 20251
14 20250
15 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 15 papers that have together received 325 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (9 papers), Thyroid and Parathyroid Surgery (4 papers), Cancer-related Molecular Pathways (3 papers), Thyroid Disorders and Treatments (2 papers), Head and Neck Anomalies (2 papers), Nanoplatforms for cancer theranostics (1 paper), Nanocomposite Films for Food Packaging (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (246 citations), Anesthesiology and Pain Medicine (14 citations), Surgery (110 citations), Health Informatics (3 citations) and Pathology and Forensic Medicine (34 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, Xiangjian Zhang and Zimiao Chen. Their work appears in journals such as Medicine, Journal of Nanoparticle Research, Technology in Cancer Research & Treatment, Biomaterials Science and Oncotarget.

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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