Xiaohang Jin

552 total citations
19 papers, 447 citations indexed

About

Xiaohang Jin is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Xiaohang Jin has authored 19 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Immunology. Recurrent topics in Xiaohang Jin's work include Aquaculture disease management and microbiota (3 papers), Prion Diseases and Protein Misfolding (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Xiaohang Jin is often cited by papers focused on Aquaculture disease management and microbiota (3 papers), Prion Diseases and Protein Misfolding (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Xiaohang Jin collaborates with scholars based in China, United Kingdom and Japan. Xiaohang Jin's co-authors include Taidong Qiao, Yongquan Shi, Jing-ping Du, Yanglin Pan, Na Liu, Juan Shi, Daiming Fan, Changcun Guo, Li Sun and Daiming Fan and has published in prestigious journals such as Scientific Reports, FEBS Letters and International Journal of Cancer.

In The Last Decade

Xiaohang Jin

18 papers receiving 442 citations

Peers

Xiaohang Jin
Comparison fields: 5 of 81
  • Molecular Biology 262
  • Cancer Research 97
  • Oncology 74
  • Immunology 58
  • Neurology 45
Replace Sandra Hess with:
Sandra Hess Germany
Barbara Di Marco Italy
Seong‐Whan Jeong South Korea
Nicola J. Darling United Kingdom
Yoshinori Takei Japan
Dongmei Mai China
Emilie Hangen France
Arpna Srivastava India
Vikrant Borse United States
Zhu Chen China
Sandra Hess Germany View profile →
Citations per field, relative to Xiaohang Jin
Xiaohang Jin · 1×
Citations per year, relative to Xiaohang Jin
Xiaohang Jin · 1×

Countries citing papers authored by Xiaohang Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohang Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohang Jin. A scholar is included among the top collaborators of Xiaohang 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 Xiaohang Jin. Xiaohang Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 1
3 4
4 28
5 20
6 41
7 6
8 127
9 8
10 30
11 4
12 20
13 2
14 48
15 89
16
[The overexpression of prion protein in drug resistant gastric cancer cell line SGC7901/ADR and its significance].
5
17
[Differential expression of RPL6/Taxreb107 in drug resistant gastric cancer cell line SGC7901/ADR and its correlation with multiple-drug resistance].
4
18 8
19
[Effect of human calcyclin binding protein encoding gene on development of multiple drug resistance in gastric cancer].
2

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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