Hao Jin

2.5k citations
63 papers · 1.9k · h-index 21

Impact in

Papers in

    • Immune cells in cancer 6
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4

Hao Jin

61 papers receiving 1.9k citations

Peers

Hao Jin
Comparison fields: 5 of 117
  • Sensory Systems 449
  • Biological Psychiatry 121
  • Behavioral Neuroscience 168
  • Nutrition and Dietetics 377
  • Endocrine and Autonomic Systems 132
Replace Shaun McNulty with:
Shaun McNulty United Kingdom
Jelena Djordjevic Serbia
Atsuyoshi Shimada Japan
Santosh K. Mishra United States
Yong Ho Kim South Korea
Lucy F. Donaldson United Kingdom
Omar Šerý Czechia
Hwei‐Hsien Chen Taiwan
Changyu Jiang China
Shahrbanoo Oryan Iran
Hao Jin relative to Shaun McNulty United Kingdom Shaun McNulty's profile →
Citations per field
00.5×2.8×
Shaun McNulty · 1×
Citations per year

Countries citing papers authored by Hao Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hao Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020217
2 2019180
3 2012179
4 2015163
5 2016154
6 201894
7 201781
8 201166
9 201765
10 200956
11 202152
12 201650
13 201840
14 201539
15 201636
16 202029
17 201828
18 201228
19 202024
20 201523

About Hao Jin

Hao Jin is a scholar working on Immunology, Molecular Biology, Oncology, Sensory Systems and Organic Chemistry, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Olfactory and Sensory Function Studies (4 papers), Quinazolinone synthesis and applications (4 papers), T-cell and B-cell Immunology (4 papers) and Biochemical Analysis and Sensing Techniques (4 papers). The work is most often cited by research in Sensory Systems (449 citations), Biological Psychiatry (121 citations), Behavioral Neuroscience (168 citations), Nutrition and Dietetics (377 citations) and Endocrine and Autonomic Systems (132 citations). Hao Jin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Charles S. Zuker, Arie Kaffman, Lan Wei, Xue Yang, Yuequan Shen, Xiangyu Cai, Mingyu Ye, Siwei Li, Jean-Christophe Delpech and Yueqing Peng. Their work appears in journals such as Frontiers in Immunology, Cell, Protein Expression and Purification, Nature and Oncotarget.

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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