Jin Lin

878 citations
17 papers · 626 · h-index 11

Impact in

Papers in

    • Cancer Treatment and Pharmacology 1
    • Complement system in diseases 2
    • T-cell and B-cell Immunology 1

Jin Lin

16 papers receiving 589 citations

Peers

Jin Lin
Comparison fields: 5 of 76
  • Biochemistry 121
  • Infectious Diseases 212
  • Pharmacology 52
  • Management of Technology and Innovation 47
  • Epidemiology 172
Replace Dae‐Hyun Ko with:
Dae‐Hyun Ko South Korea
Sibel Hacıoğlu Türkiye
Stefan Weiler Switzerland
Kathleen J. Beach United States
Fulvia Terracciano Italy
Kaushal K Prasad India
Kristine M. Lohr United States
VR Gordeuk United States
PH Levine United States
Colin R. Macpherson United States
Jin Lin relative to Dae‐Hyun Ko South Korea Dae‐Hyun Ko's profile →
Citations per field
00.5×7.8×
Dae‐Hyun Ko · 1×
Citations per year

Countries citing papers authored by Jin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1998246
2 199390
3 200970
4 199346
5 201140
6 201631
7 201025
8 201823
9
Large cell non-Hodgkin lymphoma of childhood: clinical characteristics and outcome.
199416
10 202115
11 201810
12 20048
13 20242
14 19702
15 20071
16
[In vitro gene transfection into rabbit articular chondrocytes mediated by recombinant adeno-associated virus vector].
20061
17 20250

About Jin Lin

Jin Lin is a scholar working on Oncology, Immunology, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 626 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (2 papers), Blood transfusion and management (2 papers), Complement system in diseases (2 papers), Ferroptosis and cancer prognosis (1 paper), Respiratory Support and Mechanisms (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), T-cell and B-cell Immunology (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Biochemistry (121 citations), Infectious Diseases (212 citations), Pharmacology (52 citations), Management of Technology and Innovation (47 citations) and Epidemiology (172 citations). Jin Lin has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include John R. Wingard, Carole B. Miller, J.-A. van Burik, Eric Sandler, Mary H. White, M. Goldman, Raleigh A. Bowden, Gary A. Noskin, Marc Gurwith and Laurence Corash. Their work appears in journals such as Blood, Vox Sanguinis, Transfusion, Clinical Infectious Diseases and International Journal of Biological Sciences.

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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