Ping Jin

4.9k citations
85 papers · 4k · 1 hit paper · h-index 34

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • CAR-T cell therapy research 23
    • Cancer Immunotherapy and Biomarkers 5
    • Mesenchymal stem cell research 15

Ping Jin

85 papers receiving 3.9k citations

Ping Jin's Hit Papers

NAFLD causes selective CD4+ T lymphocyte loss and promotes hepatocarcinogenesis 2016 · 654 citations
6540+3+6Years since publication200400600

Peers

Ping Jin
Comparison fields: 5 of 116
  • Genetics 481
  • Oncology 884
  • Immunology 704
  • Hematology 439
  • Hepatology 273
Replace Matthias Friedrich with:
Matthias Friedrich Germany
Francesca Sanvito Italy
Biagio Eugenio Leone Italy
Selvarangan Ponnazhagan United States
Maria Carla Bosco Italy
Min Cheng China
Eberhard Gunsilius Austria
Sreyashi Basu United States
Achille Anselmo Italy
Segundo R. Gonzalez Spain
Ping Jin relative to Matthias Friedrich Germany Matthias Friedrich's profile →
Citations per field
00.5×2×3×3.5×
Matthias Friedrich · 1×
Citations per year

Countries citing papers authored by Ping Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ping Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NAFLD causes selective CD4+ T lymphocyte loss and promotes hepatocarcinogenesis
Hit paper breakdown →
2016654
2 2011221
3 2017184
4 2007183
5 2021157
6 2009156
7 2016134
8 2010123
9 2011101
10 200399
11 200696
12 200988
13 200786
14 201986
15 200871
16 201671
17 201767
18 200964
19 201159
20 201355

About Ping Jin

Ping Jin is a scholar working on Oncology, Genetics, Immunology, Hematology and Genetics, having authored 85 papers that have together received 4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (23 papers), Mesenchymal stem cell research (15 papers), Immunotherapy and Immune Responses (15 papers), Hematopoietic Stem Cell Transplantation (13 papers), Cancer Immunotherapy and Biomarkers (5 papers), T-cell and B-cell Immunology (4 papers), Gene expression and cancer classification (4 papers) and Telomeres, Telomerase, and Senescence (3 papers). The work is most often cited by research in Genetics (481 citations), Oncology (884 citations), Immunology (704 citations), Hematology (439 citations) and Hepatology (273 citations). Ping Jin has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include David F. Stroncek, Ena Wang, Francesco Maria Marincola, Jiaqiang Ren, Marianna Sabatino, Monica C. Panelli, Sara Civini, Ji Luo, Veena Kapoor and Achim Weber. Their work appears in journals such as Journal of Translational Medicine, Cytotherapy, Blood, Scientific Reports and Transfusion.

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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