Xiaohua Jin

28 total papers · 421 total citations
21 papers, 337 citations indexed

About

Xiaohua Jin is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Xiaohua Jin has authored 21 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Xiaohua Jin's work include CRISPR and Genetic Engineering (4 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Metabolism and Genetic Disorders (3 papers). Xiaohua Jin is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Metabolism and Genetic Disorders (3 papers). Xiaohua Jin collaborates with scholars based in China, Japan and United States. Xiaohua Jin's co-authors include Peipei Song, Yi Cui, Xu Ma, Hong-Fei Xia, Chunmei Liu, Xu Ma, Huafang Gao, Hong‐Fei Xia, Xuan Wang and Wei Cao and has published in prestigious journals such as Cancer Research, Biochimica et Biophysica Acta (BBA) - General Subjects and Molecular Therapy.

In The Last Decade

Xiaohua Jin

21 papers receiving 332 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiaohua Jin 235 174 55 38 27 21 337
Irati Romero‐Garmendia 210 0.9× 81 0.5× 82 1.5× 43 1.1× 28 1.0× 19 364
Shoubi Wang 228 1.0× 107 0.6× 81 1.5× 9 0.2× 6 0.2× 19 380
Jimin Shi 146 0.6× 74 0.4× 28 0.5× 13 0.3× 14 0.5× 24 319
Joanna Czarnecka‐Herok 225 1.0× 69 0.4× 62 1.1× 18 0.5× 17 0.6× 15 397
Yanming Feng 211 0.9× 42 0.2× 25 0.5× 37 1.0× 111 4.1× 22 398
Giulia Pianigiani 278 1.2× 47 0.3× 25 0.5× 43 1.1× 25 0.9× 17 338
Yangyang Zheng 234 1.0× 124 0.7× 52 0.9× 14 0.4× 17 0.6× 29 393
Deborah Rotoli 264 1.1× 38 0.2× 50 0.9× 18 0.5× 26 1.0× 24 395
Delin Kong 207 0.9× 81 0.5× 68 1.2× 14 0.4× 24 0.9× 20 328
Jinjian Yang 274 1.2× 166 1.0× 39 0.7× 11 0.3× 24 0.9× 26 400

Countries citing papers authored by Xiaohua Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohua Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohua Jin

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

All Works

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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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