Huan Jin

636 total citations
30 papers, 490 citations indexed

About

Huan Jin is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Huan Jin has authored 30 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Huan Jin's work include PI3K/AKT/mTOR signaling in cancer (5 papers), Pain Mechanisms and Treatments (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Huan Jin is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Pain Mechanisms and Treatments (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Huan Jin collaborates with scholars based in China, United States and Spain. Huan Jin's co-authors include Feng Zou, Nian Wang, Xianqing Mao, Jingping Ouyang, Jerry Y. Hsu, Ian E. Krop, José Baselga, Won Jin Cho, Timothy R. Wilson and Gang Ren and has published in prestigious journals such as Journal of Clinical Oncology, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Huan Jin

28 papers receiving 481 citations

Peers

Huan Jin
Comparison fields: 5 of 90
  • Molecular Biology 290
  • Oncology 93
  • Pulmonary and Respiratory Medicine 90
  • Cell Biology 56
  • Genetics 50
Replace Péter Juhász with:
Péter Juhász United States
Jiansha Li China
Ying Cheng China
Doo‐Hyun Yoo South Korea
Chengzhi Xie China
Begoña Cánovas Spain
David Moore United Kingdom
Hong-Duck Um South Korea
Susumu Kohno Japan
Péter Juhász United States View profile →
Citations per field, relative to Huan Jin
Huan Jin · 1×
Citations per year, relative to Huan Jin
Huan Jin · 1×

Countries citing papers authored by Huan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Huan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Huan Jin. A scholar is included among the top collaborators of Huan 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 Huan Jin. Huan 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
# Work Indexed citations
1 1
2 1
3 0
4 9
5 0
6 3
7 17
8 17
9 27
10 120
11 34
12 17
13 7
14 21
15 9
16
[Implication of BDNF expression in transected spinal cord of rats].
1
17 88
18
The study of ultrastructural changes of cerebral regions related to heroin dependent rats
1
19 49
20
Effects of Acrylonitrile Exposure on Neurobehavioral Function in Rats
1

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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