Jin Lin

840 citations
17 papers · 571 · h-index 11

Impact in

Papers in

Jin Lin

16 papers receiving 558 citations

Peers

Jin Lin
Comparison fields: 5 of 78
  • Biochemistry 115
  • Management of Technology and Innovation 80
  • Infectious Diseases 210
  • Critical Care and Intensive Care Medicine 38
  • Hematology 75
Replace Yongyut Sirivatanauksorn with:
Yongyut Sirivatanauksorn Thailand
Michèle Jacquet Belgium
Kaushal K Prasad India
Sibel Hacıoğlu Türkiye
Dae‐Hyun Ko South Korea
Fulvia Terracciano Italy
M. Silvija Hoag United States
P. Angus Australia
Susanne M. Picker Germany
Saeed Kabrah Saudi Arabia
Jin Lin relative to Yongyut Sirivatanauksorn Thailand Yongyut Sirivatanauksorn's profile →
Citations per field
00.5×6.1×
Yongyut Sirivatanauksorn · 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 1998212
2 199386
3 200968
4 199344
5 201140
6 201630
7 201822
8 201021
9 202114
10
Large cell non-Hodgkin lymphoma of childhood: clinical characteristics and outcome.
199411
11 201810
12 20047
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 Hematology, Molecular Biology, Oncology, Biochemistry and Immunology, having authored 17 papers that have together received 571 indexed citations. Recurring topics across this work include Blood transfusion and management (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Complement system in diseases (2 papers), Virus-based gene therapy research (2 papers), Platelet Disorders and Treatments (2 papers), Blood donation and transfusion practices (2 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Biochemistry (115 citations), Management of Technology and Innovation (80 citations), Infectious Diseases (210 citations), Critical Care and Intensive Care Medicine (38 citations) and Hematology (75 citations). Jin Lin has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include J.-A. van Burik, M. Goldman, Matthew Graham, Carole B. Miller, Aileen McCabe, Mary H. White, Eric Sandler, Gary A. Noskin, Raleigh A. Bowden and Marc Gurwith. Their work appears in journals such as Blood, Transfusion, Vox Sanguinis, Clinical Infectious Diseases and Frontiers in Physiology.

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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