Hui Jin

1.9k citations
41 papers · 1.5k · h-index 24

Impact in

Papers in

    • Fungal and yeast genetics research 15
    • DNA Repair Mechanisms 10
    • Genomics and Chromatin Dynamics 5
    • Angiogenesis and VEGF in Cancer 4
    • Nuclear Structure and Function 4
    • Microtubule and mitosis dynamics 6
    • Cellular transport and secretion 5

Hui Jin

41 papers receiving 1.5k citations

Peers

Hui Jin
Comparison fields: 5 of 98
  • Immunology and Allergy 162
  • Cell Biology 316
  • Molecular Biology 931
  • Developmental Neuroscience 41
  • Cancer Research 129
Replace Laura Asnaghi with:
Laura Asnaghi United States
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Pengcheng Zhou China
Chenran Wang United States
Eun‐Young Shin South Korea
Misa Suzuki Japan
Tetsuya Noguchi Japan
Thierry Virolle France
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Renata Polakowska United States
Hui Jin relative to Laura Asnaghi United States Laura Asnaghi's profile →
Citations per field
00.5×1.5×2.0×
Laura Asnaghi · 1×
Citations per year

Countries citing papers authored by Hui Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hui Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006183
2 2005151
3 2008115
4 2006110
5 200964
6 200060
7 200844
8 200443
9 201141
10 201540
11 200734
12 201733
13 201933
14 201133
15 202131
16
Critical role of SDF-1α-induced progenitor cell recruitment and macrophage VEGF production in the experimental corneal neovascularization.
201131
17 200630
18 201128
19 201028
20 201126

About Hui Jin

Hui Jin is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Cancer Research and Pathology and Forensic Medicine, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (15 papers), DNA Repair Mechanisms (10 papers), Microtubule and mitosis dynamics (6 papers), Nerve injury and regeneration (6 papers), Cellular transport and secretion (5 papers), Genomics and Chromatin Dynamics (5 papers), Angiogenesis and VEGF in Cancer (4 papers) and Nuclear Structure and Function (4 papers). The work is most often cited by research in Immunology and Allergy (162 citations), Cell Biology (316 citations), Molecular Biology (931 citations), Developmental Neuroscience (41 citations) and Cancer Research (129 citations). Hui Jin has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Hong-Guo Yu, Eric Grote, Barbara Garmy‐Susini, J. Michael McCaffery, David C. Amberg, Yuhong Zhu, Rosa F. Hwang, Christin Carter‐Su, Jingmei Su and Jeanine Kleeman. Their work appears in journals such as Molecular Biology of the Cell, The Journal of Cell Biology, Molecular Endocrinology, Journal of Clinical Investigation and Genetics.

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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