Jun Lin

609 citations
37 papers · 457 · h-index 14

Impact in

Papers in

    • Renal Transplantation Outcomes and Treatments 2
    • Viral-associated cancers and disorders 5
    • Polyomavirus and related diseases 2

Jun Lin

36 papers receiving 452 citations

Peers

Jun Lin
Comparison fields: 5 of 83
  • Transplantation 59
  • Family Practice 13
  • Cancer Research 80
  • Nephrology 26
  • Virology 12
Replace Shaojie Yu with:
Shaojie Yu China
Zuzanna Nowicka Poland
Joanna Więckiewicz Poland
Ga Young Lee South Korea
David D. Aufhauser United States
Rafik Ghobrial United States
Masaki Yamanaka Japan
Sima Abedi Azar Iran
Laurie Jane McKenzie United States
Iphigenia Phocas Greece
Jun Lin relative to Shaojie Yu China Shaojie Yu's profile →
Citations per field
00.5×1.5×2×
Shaojie Yu · 1×
Citations per year

Countries citing papers authored by Jun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201960
2 201747
3 201433
4 201329
5 201424
6
Quality of sleep and health-related quality of life in renal transplant recipients.
201520
7 202020
8 201820
9 201919
10 201418
11 201717
12 201917
13 201316
14 201914
15 201613
16 201312
17 20198
18 20177
19 20167
20 20166

About Jun Lin

Jun Lin is a scholar working on Transplantation, Oncology, Cancer Research, Public Health, Environmental and Occupational Health and Family Practice, having authored 37 papers that have together received 457 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (5 papers), Renal Transplantation Outcomes and Treatments (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Cancer-related molecular mechanisms research (2 papers), Polyomavirus and related diseases (2 papers), Ubiquitin and proteasome pathways (2 papers), Organ Donation and Transplantation (2 papers) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Transplantation (59 citations), Family Practice (13 citations), Cancer Research (80 citations), Nephrology (26 citations) and Virology (12 citations). Jun Lin has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Yichen Zhu, Jing Xiao, Lei Zhang, Caixiang Zhang, Ye Tian, Wenying Wang, Ye Tian, Jian Zhang, Wei Qiu and Linlin Ma. Their work appears in journals such as BMC Infectious Diseases, Journal of Investigative Medicine, Journal of Endovascular Therapy, Disease Markers and Current Molecular Medicine.

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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