Jiali Shen

17 total papers · 632 total citations
14 papers, 489 citations indexed

About

Jiali Shen is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Jiali Shen has authored 14 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Oncology and 1 paper in Infectious Diseases. Recurrent topics in Jiali Shen's work include Genomics and Chromatin Dynamics (4 papers), TGF-β signaling in diseases (3 papers) and Bone Metabolism and Diseases (3 papers). Jiali Shen is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), TGF-β signaling in diseases (3 papers) and Bone Metabolism and Diseases (3 papers). Jiali Shen collaborates with scholars based in United States, Chile and China. Jiali Shen's co-authors include Martı́n Montecino, André J. van Wijnen, Jane B. Lian, Janet L. Stein, Gary S. Stein, Lan Xu, Y. Tony Ip, Hayk Hovhannisyan, Amjad Javed and Ying Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Jiali Shen

14 papers receiving 484 citations

Author Peers

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

Author Last Decade Papers Cites
Jiali Shen 354 75 59 45 38 14 489
Anoop Grewal 269 0.8× 51 0.7× 88 1.5× 14 0.3× 23 0.6× 13 463
Normand L. Frigon 377 1.1× 90 1.2× 43 0.7× 12 0.3× 29 0.8× 15 549
Nahid Safari‐Alighiarloo 271 0.8× 61 0.8× 54 0.9× 9 0.2× 49 1.3× 19 442
Karen Rothfels 255 0.7× 25 0.3× 42 0.7× 21 0.5× 27 0.7× 9 405
Richa Garva 199 0.6× 49 0.7× 67 1.1× 16 0.4× 9 0.2× 12 509
Andreas R. Baudy 341 1.0× 90 1.2× 134 2.3× 10 0.2× 13 0.3× 12 524
Franciele Kipper 211 0.6× 89 1.2× 76 1.3× 35 0.8× 11 0.3× 20 433
Yuki Nagano 272 0.8× 66 0.9× 34 0.6× 10 0.2× 13 0.3× 12 418
Harika Sabbineni 340 1.0× 78 1.0× 94 1.6× 19 0.4× 8 0.2× 16 528
Melania Parisi 328 0.9× 86 1.1× 70 1.2× 10 0.2× 16 0.4× 15 528

Countries citing papers authored by Jiali Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jiali Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiali Shen

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