Xixin Jiang

10 total papers · 595 total citations
2 papers, 392 citations indexed

About

Xixin Jiang is a scholar working on Infectious Diseases, Dermatology and Neurology. According to data from OpenAlex, Xixin Jiang has authored 2 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Infectious Diseases, 1 paper in Dermatology and 1 paper in Neurology. Recurrent topics in Xixin Jiang's work include Long-Term Effects of COVID-19 (1 paper), COVID-19 Clinical Research Studies (1 paper) and Nanoplatforms for cancer theranostics (1 paper). Xixin Jiang is often cited by papers focused on Long-Term Effects of COVID-19 (1 paper), COVID-19 Clinical Research Studies (1 paper) and Nanoplatforms for cancer theranostics (1 paper). Xixin Jiang collaborates with scholars based in China. Xixin Jiang's co-authors include Ying Huang, Chaochao Tan, Kui Tan, Fengxia Shi, Xiaosong Li, Yong Chen, Xiaoming Shi, Dong Zhang, Xinmiao Zhang and Ning Gan and has published in prestigious journals such as RSC Advances and Journal of Medical Virology.

In The Last Decade

Xixin Jiang

1 paper receiving 380 citations

Hit Papers

C‐reactive protein correl... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Xixin Jiang 336 183 78 54 49 2 392
Xiaosong Li 341 1.0× 185 1.0× 78 1.0× 56 1.0× 50 1.0× 5 404
Muhammad Akrmah 311 0.9× 172 0.9× 82 1.1× 74 1.4× 31 0.6× 6 412
Federico Espinosa 285 0.8× 135 0.7× 74 0.9× 126 2.3× 48 1.0× 4 420
Ezequiel Saavedra 285 0.8× 136 0.7× 74 0.9× 126 2.3× 48 1.0× 4 418
Camila Agnoletti 285 0.8× 135 0.7× 74 0.9× 126 2.3× 48 1.0× 4 417
Verónica Sanguine 287 0.9× 135 0.7× 83 1.1× 126 2.3× 48 1.0× 5 430
Weize Yang 233 0.7× 125 0.7× 77 1.0× 74 1.4× 23 0.5× 8 347
Hao Zhang 265 0.8× 124 0.7× 59 0.8× 105 1.9× 49 1.0× 7 366
Yiming Zhang 334 1.0× 179 1.0× 68 0.9× 79 1.5× 21 0.4× 5 440
Yida Yang 273 0.8× 151 0.8× 75 1.0× 56 1.0× 34 0.7× 9 404

Countries citing papers authored by Xixin Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xixin Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xixin Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xixin Jiang. A scholar is included among the top collaborators of Xixin Jiang 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 Xixin Jiang. Xixin Jiang 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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