Jie‐Xin Wu

19 total papers · 578 total citations
14 papers, 466 citations indexed

About

Jie‐Xin Wu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jie‐Xin Wu has authored 14 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Jie‐Xin Wu's work include Renal and related cancers (3 papers), Reproductive Biology and Fertility (2 papers) and Cell Adhesion Molecules Research (2 papers). Jie‐Xin Wu is often cited by papers focused on Renal and related cancers (3 papers), Reproductive Biology and Fertility (2 papers) and Cell Adhesion Molecules Research (2 papers). Jie‐Xin Wu collaborates with scholars based in United States, China and South Korea. Jie‐Xin Wu's co-authors include Eileen D. Adamson, Lynn M. Wiley, Ilana Harari, Bradley Spencer‐Dene, Raffaella Muraro, Christina C. Niemeyer, G R Johnson, Nicholas J. Kenney, William J. Gullick and Ian de Belle and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Development.

In The Last Decade

Jie‐Xin Wu

13 papers receiving 456 citations

Author Peers

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

Author Last Decade Papers Cites
Jie‐Xin Wu 323 96 91 76 51 14 466
Sika Ristevski 357 1.1× 73 0.8× 57 0.6× 134 1.8× 59 1.2× 15 539
Benedikt Bosbach 259 0.8× 163 1.7× 86 0.9× 35 0.5× 77 1.5× 12 499
Yukio Nishina 286 0.9× 72 0.8× 37 0.4× 123 1.6× 50 1.0× 19 423
A Kikuchi 425 1.3× 39 0.4× 64 0.7× 81 1.1× 22 0.4× 13 535
Joachim Huarte 264 0.8× 63 0.7× 36 0.4× 110 1.4× 50 1.0× 13 434
Ajoy Kumar Samraj 265 0.8× 38 0.4× 51 0.6× 27 0.4× 75 1.5× 12 409
Mónica Román-Trufero 496 1.5× 36 0.4× 33 0.4× 123 1.6× 29 0.6× 14 550
Denise Barry 348 1.1× 16 0.2× 106 1.2× 50 0.7× 64 1.3× 12 469
Sybille Galosy 244 0.8× 24 0.3× 67 0.7× 128 1.7× 48 0.9× 16 454
Easwara Sadasivan 287 0.9× 37 0.4× 55 0.6× 39 0.5× 21 0.4× 13 432

Countries citing papers authored by Jie‐Xin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jie‐Xin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jie‐Xin Wu. 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 Jie‐Xin Wu. The network helps show where Jie‐Xin Wu may publish in the future.

Co-authorship network of co-authors of Jie‐Xin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jie‐Xin Wu. A scholar is included among the top collaborators of Jie‐Xin Wu 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 Jie‐Xin Wu. Jie‐Xin Wu 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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