Caining Jin

1.7k citations
28 papers · 1.5k · h-index 23

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • MicroRNA in disease regulation

Papers in

    • Cancer Cells and Metastasis 4
    • Cancer Immunotherapy and Biomarkers 2
    • Cellular transport and secretion 4

Caining Jin

28 papers receiving 1.5k citations

Peers

Caining Jin
Comparison fields: 5 of 59
  • Oncology 459
  • Cancer Research 199
  • Molecular Biology 611
  • Pulmonary and Respiratory Medicine 232
  • Immunology 68
Replace Maroof Alam with:
Maroof Alam United States
Masayuki Hiraki Japan
Ashujit Tagde United States
Toni Michel Brand United States
Vicky Pui‐Chi Tin Hong Kong
Katrin Elisabeth Tagscherer Germany
Carolina Zandueta Spain
Urszula M. Polanska United Kingdom
Rama Krishna Nimmakayala United States
Shaokun Shu United States
Caining Jin relative to Maroof Alam United States Maroof Alam's profile →
Citations per field
00.5×1.5×
Maroof Alam · 1×
Citations per year

Countries citing papers authored by Caining Jin

Since Specialization
Citations

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

Fields of papers citing papers by Caining Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017198
2 2020131
3 201684
4 201072
5 201268
6 201863
7 201462
8 201461
9 201460
10 202054
11 201953
12 201752
13 201951
14 200550
15 201849
16 201247
17 201347
18 201641
19 201937
20 200635

About Caining Jin

Caining Jin is a scholar working on Oncology, Cell Biology, Molecular Biology, Pulmonary and Respiratory Medicine and Genetics, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Glycosylation and Glycoproteins Research (5 papers), Cancer Cells and Metastasis (4 papers), Cellular transport and secretion (4 papers), Prostate Cancer Treatment and Research (3 papers), Estrogen and related hormone effects (3 papers), Lung Cancer Treatments and Mutations (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Oncology (459 citations), Cancer Research (199 citations), Molecular Biology (611 citations), Pulmonary and Respiratory Medicine (232 citations) and Immunology (68 citations). Caining Jin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Donald W. Kufe, Hasan N. Rajabi, Maroof Alam, Rehan Ahmad, Akriti Kharbanda, Kwok‐Kin Wong, Ashujit Tagde, Audrey Bouillez, Yozo Suzuki and Masayuki Hiraki. Their work appears in journals such as Cancer Research, JCI Insight, Oncotarget, Molecular Cancer Research and The Prostate.

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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