Jin Long

609 citations
21 papers · 475 · h-index 12

Impact in

Papers in

    • Epigenetics and DNA Methylation 2
    • FOXO transcription factor regulation 1
    • Pancreatic and Hepatic Oncology Research 6

Jin Long

20 papers receiving 473 citations

Peers

Jin Long
Comparison fields: 5 of 63
  • Endocrine and Autonomic Systems 105
  • Cancer Research 117
  • Genetics 73
  • Nutrition and Dietetics 72
  • Neurology 51
Replace Rafael Sánchez‐Sánchez with:
Rafael Sánchez‐Sánchez Spain
Harvinder Chahal United Kingdom
Qiu-Hua Liang China
Per‐Erik Sandström Sweden
Salvatore Mangiafico Australia
M.M. Ilondo Belgium
Christopher Qian China
Tara Smith United States
Chao Gan China
Michael Sofopoulos Greece
Jin Long relative to Rafael Sánchez‐Sánchez Spain Rafael Sánchez‐Sánchez's profile →
Citations per field
00.5×2.7×
Rafael Sánchez‐Sánchez · 1×
Citations per year

Countries citing papers authored by Jin Long

Since Specialization
Citations

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

Fields of papers citing papers by Jin Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000133
2 201095
3 201646
4 200532
5 201526
6 201926
7 201919
8 201616
9 201514
10 201513
11 201212
12 201511
13 20239
14 20198
15 20165
16 20164
17
Integrated regulatory network involving differently expressed genes and protein-protein interaction on pancreatic cancer.
20152
18 20162
19 20201
20
A case report of huge perirenal liposarcoma associated with renal cell carcinoma and reviews of three previous cases.
20141

About Jin Long

Jin Long is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 21 papers that have together received 475 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), Sarcoma Diagnosis and Treatment (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Genomics and Diagnostics (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Epigenetics and DNA Methylation (2 papers), Genetic Syndromes and Imprinting (2 papers) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (105 citations), Cancer Research (117 citations), Genetics (73 citations), Nutrition and Dietetics (72 citations) and Neurology (51 citations). Jin Long has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yuanhong Xu, Marta Couce, Ricardo V. Lloyd, Kejian Guo, Bartolomé Burguera, Joseph E. Parisi, Jesse Lamsam, K. Laakso, Michael D. Jensen and Lian Hui. Their work appears in journals such as Tumor Biology, iScience, PeerJ, BMC Complementary and Alternative Medicine and Acta Neuropathologica.

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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