Wei-Jong Shia

13 total papers · 454 total citations
10 papers, 367 citations indexed

About

Wei-Jong Shia is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Wei-Jong Shia has authored 10 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Hematology and 1 paper in Oncology. Recurrent topics in Wei-Jong Shia's work include Genomics and Chromatin Dynamics (4 papers), Fungal and yeast genetics research (3 papers) and Acute Myeloid Leukemia Research (3 papers). Wei-Jong Shia is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), Fungal and yeast genetics research (3 papers) and Acute Myeloid Leukemia Research (3 papers). Wei-Jong Shia collaborates with scholars based in United States, Japan and Denmark. Wei-Jong Shia's co-authors include Jerry L. Workman, Laurence Florens, Michael P. Washburn, Selene K. Swanson, Shigehiro Osada, Samantha G. Pattenden, Scott Anderson, John R. Yates, Michael J. Carrozza and Rolf Sternglanz and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Oncotarget.

In The Last Decade

Wei-Jong Shia

10 papers receiving 365 citations

Author Peers

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

Author Last Decade Papers Cites
Wei-Jong Shia 335 46 35 23 20 10 367
Yi‐Hsuan Ho 244 0.7× 35 0.8× 34 1.0× 34 1.5× 14 0.7× 10 365
Mushan Li 360 1.1× 46 1.0× 28 0.8× 12 0.5× 31 1.6× 10 441
Eric G. Folco 394 1.2× 20 0.4× 20 0.6× 27 1.2× 19 0.9× 12 443
Paula A. Tower 346 1.0× 32 0.7× 30 0.9× 32 1.4× 39 1.9× 11 408
Anita J. Nelsen 209 0.6× 19 0.4× 18 0.5× 21 0.9× 59 3.0× 9 349
Shalu Gupta 264 0.8× 63 1.4× 18 0.5× 92 4.0× 17 0.8× 10 363
Minami Yamada 235 0.7× 18 0.4× 16 0.5× 22 1.0× 17 0.8× 13 340
Laura Lingardo 255 0.8× 30 0.7× 8 0.2× 30 1.3× 23 1.1× 8 347
Adrian Auf der Maur 311 0.9× 23 0.5× 23 0.7× 60 2.6× 50 2.5× 10 441
Catherine Berset 339 1.0× 27 0.6× 37 1.1× 73 3.2× 17 0.8× 12 414

Countries citing papers authored by Wei-Jong Shia

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Jong Shia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Jong Shia. 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 Wei-Jong Shia. The network helps show where Wei-Jong Shia may publish in the future.

Co-authorship network of co-authors of Wei-Jong Shia

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Jong Shia. A scholar is included among the top collaborators of Wei-Jong Shia 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 Wei-Jong Shia. Wei-Jong Shia 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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