Jie Jin

546 citations
38 papers · 239 · h-index 9

Impact in

Papers in

    • Histone Deacetylase Inhibitors Research 3
    • Chronic Lymphocytic Leukemia Research 6
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3

Jie Jin

34 papers receiving 228 citations

Peers

Jie Jin
Comparison fields: 5 of 73
  • Cognitive Neuroscience 55
  • Genetics 28
  • Biomedical Engineering 102
  • Hematology 25
  • Human-Computer Interaction 10
Replace Kang-In Lee with:
Kang-In Lee South Korea
Federico Ongaro Netherlands
Ho Yin Yuen Hong Kong
Jinfeng Cao China
Zhijie Pan China
Binghan Liu China
Ziyang Yang China
Bowen Zheng China
Jiahao He China
Jie Jin relative to Kang-In Lee South Korea Kang-In Lee's profile →
Citations per field
00.5×10×15×20×25×
Kang-In Lee · 1×
Citations per year

Countries citing papers authored by Jie Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jie Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202130
2 200528
3 202327
4 202224
5 202218
6 202312
7 200412
8 20239
9 20239
10 20237
11 20227
12 20246
13 20046
14 20226
15 20225
16 20225
17 20124
18 20233
19 20252
20 20242

About Jie Jin

Jie Jin is a scholar working on Molecular Biology, Genetics, Oncology, Hematology and Biomedical Engineering, having authored 38 papers that have together received 239 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Lymphoma Diagnosis and Treatment (7 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Acute Myeloid Leukemia Research (5 papers), Tactile and Sensory Interactions (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (55 citations), Genetics (28 citations), Biomedical Engineering (102 citations), Hematology (25 citations) and Human-Computer Interaction (10 citations). Jie Jin has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Deqing Mei, Yancheng Wang, Jeong‐Hun Kang, F. Kondo, Jun Huang, Chengkuo Lee, Jin Huang, Chengang Lyu, Xiaohong Xu and Weichung Shih. Their work appears in journals such as Blood, Journal of Clinical Oncology, IEEE Transactions on Instrumentation and Measurement, Measurement and Applied Catalysis B: Environmental.

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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