Deyong Jia

38 total papers · 1.5k total citations
32 papers, 1.2k citations indexed

About

Deyong Jia is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Deyong Jia has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Immunology. Recurrent topics in Deyong Jia's work include Prostate Cancer Treatment and Research (5 papers), Cancer Cells and Metastasis (5 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Deyong Jia is often cited by papers focused on Prostate Cancer Treatment and Research (5 papers), Cancer Cells and Metastasis (5 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Deyong Jia collaborates with scholars based in China, United States and Singapore. Deyong Jia's co-authors include Lisheng Wang, Huijuan Liu, Aijun Hao, Baojie Li, Eng‐Ang Ling, Daniel Figeys, Zemin Yao, Shangming Liu, Yuan Tan and Keng Po Lai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Deyong Jia

32 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Deyong Jia 772 383 240 140 132 32 1.2k
Gabriel Bretones 761 1.0× 322 0.8× 181 0.8× 130 0.9× 80 0.6× 24 1.1k
Carmela Ciccarelli 941 1.2× 244 0.6× 383 1.6× 105 0.8× 154 1.2× 29 1.4k
Jennifer Yeh 759 1.0× 367 1.0× 211 0.9× 219 1.6× 67 0.5× 34 1.3k
Louis Hornez 783 1.0× 407 1.1× 205 0.9× 161 1.1× 110 0.8× 41 1.4k
Miguel Aracil 678 0.9× 349 0.9× 265 1.1× 199 1.4× 106 0.8× 41 1.3k
Joseph L.‐K. Chan 1.0k 1.3× 555 1.4× 239 1.0× 132 0.9× 138 1.0× 23 1.4k
Marianna Desideri 915 1.2× 364 1.0× 311 1.3× 253 1.8× 156 1.2× 33 1.4k
Annika Wulf-Goldenberg 776 1.0× 352 0.9× 297 1.2× 88 0.6× 112 0.8× 27 1.2k
Efstathia Giannopoulou 561 0.7× 297 0.8× 278 1.2× 98 0.7× 128 1.0× 44 1.0k
Karl Simin 997 1.3× 426 1.1× 279 1.2× 93 0.7× 155 1.2× 38 1.4k

Countries citing papers authored by Deyong Jia

Since Specialization
Citations

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

Fields of papers citing papers by Deyong Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deyong Jia

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