William Ju

73 total papers · 717 total citations
10 papers, 603 citations indexed

About

William Ju is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, William Ju has authored 10 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 1 paper in Infectious Diseases. Recurrent topics in William Ju's work include Neuroscience and Neuropharmacology Research (2 papers), Inflammatory mediators and NSAID effects (1 paper) and HIV/AIDS Research and Interventions (1 paper). William Ju is often cited by papers focused on Neuroscience and Neuropharmacology Research (2 papers), Inflammatory mediators and NSAID effects (1 paper) and HIV/AIDS Research and Interventions (1 paper). William Ju collaborates with scholars based in United States and Canada. William Ju's co-authors include Graeme W. Carlile, W. G. Tatton, Ruth M.E. Chalmers-Redman, Jerry L. Phillips, Jehangir S. Wadia, Nadine Tatton, Langdon L. Miller, Neil G. Almstead, Ellen Welch and Gary Elfring and has published in prestigious journals such as Journal of Neuroscience, PEDIATRICS and Spine.

In The Last Decade

William Ju

9 papers receiving 593 citations

Author Peers

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

Author Last Decade Papers Cites
William Ju 314 138 100 75 60 10 603
Marika Orlov 304 1.0× 53 0.4× 41 0.4× 173 2.3× 58 1.0× 13 583
Kenneth B. Rank 282 0.9× 49 0.4× 25 0.3× 166 2.2× 110 1.8× 17 525
Adam M. Szlachetka 177 0.6× 88 0.6× 91 0.9× 54 0.7× 93 1.6× 15 557
Fabien Dutheil 154 0.5× 65 0.5× 78 0.8× 52 0.7× 21 0.3× 8 649
David B. Wang 369 1.2× 128 0.9× 172 1.7× 145 1.9× 12 0.2× 16 670
Giuseppe Pasquale Varano 243 0.8× 81 0.6× 28 0.3× 80 1.1× 12 0.2× 11 640
Genki Hayashi 397 1.3× 161 1.2× 60 0.6× 42 0.6× 8 0.1× 12 561
Sylvette Ayala‐Torres 510 1.6× 154 1.1× 62 0.6× 76 1.0× 15 0.3× 13 695
Inés Raineri 409 1.3× 42 0.3× 34 0.3× 141 1.9× 16 0.3× 13 689
Jing Zhao 378 1.2× 21 0.2× 70 0.7× 68 0.9× 16 0.3× 19 637

Countries citing papers authored by William Ju

Since Specialization
Citations

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

Fields of papers citing papers by William Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Ju

This figure shows the co-authorship network connecting the top 25 collaborators of William Ju. A scholar is included among the top collaborators of William Ju 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 William Ju. William Ju 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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2026