Hao Jin

2.5k citations
62 papers · 1.9k indexed · 1 hit paper · h-index 21
Topics
Immune Cell Function and Interaction (7 papers)Neuroscience and Neuropharmacology Research (6 papers)Immune cells in cancer (6 papers)

In The Last Decade

Hao Jin

56 papers receiving 1.9k citations

Hit Papers

The gut–brain axis mediates sugar preference2020202620222024202050100150200

Peers

Hao Jin
Comparison fields: 5 of 118
  • Molecular Biology 536
  • Sensory Systems 448
  • Nutrition and Dietetics 370
  • Cellular and Molecular Neuroscience 357
  • Immunology 220
Replace Shaun McNulty with:
Shaun McNulty United Kingdom
Jelena Djordjevic Serbia
Atsuyoshi Shimada Japan
Santosh K. Mishra United States
Omar Šerý Czechia
Hwei‐Hsien Chen Taiwan
Ute Krügel Germany
Shahrbanoo Oryan Iran
Roberta Lattanzi Italy
Anete Curte Ferraz Brazil
Hao Jin relative to Shaun McNulty United Kingdom Shaun McNulty's profile →
Citations per field
00.5×
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-authorship network of co-authors of Hao Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Jin. A scholar is included among the top collaborators of Hao Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hao Jin. Hao Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 2
5 0
6 0
7
Long Non-Coding RNA NEAT1 Promotes the Proliferation, Migration, and Metastasis of Human Breast-Cancer Cells by Inhibiting miR-146b-5p Expression
2
8
The gut–brain axis mediates sugar preferencebreakdown →
206
9 89
10
Correlation of PET/CT SUVmax with infiltration level of immune cells in patients with non-small cell lung cancer and its clinical significance
1
11 16
12 149
13 4
14 176
15 19
16 12
17 14
18 66
19
Advancement and prospect in research of fresh herbal medicines in China
1
20 8

About Hao Jin

Hao Jin is a scholar working on Sensory Systems, Immunology and Behavioral Neuroscience, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Immune cells in cancer (6 papers). The work is most often cited by research in Sensory Systems (448 citations), Biological Psychiatry (135 citations) and Behavioral Neuroscience (181 citations). Hao Jin has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Charles S. Zuker, Yuequan Shen, Xue Yang, Lan Wei, Arie Kaffman, Siwei Li, Xiangyu Cai, Mingyu Ye, Jean-Christophe Delpech and Yueqing Peng. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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