Ricky Chan

437 total citations
10 papers, 206 citations indexed

About

Ricky Chan is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Ricky Chan has authored 10 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Genetics. Recurrent topics in Ricky Chan's work include Ubiquitin and proteasome pathways (2 papers), RNA Research and Splicing (2 papers) and Air Quality and Health Impacts (1 paper). Ricky Chan is often cited by papers focused on Ubiquitin and proteasome pathways (2 papers), RNA Research and Splicing (2 papers) and Air Quality and Health Impacts (1 paper). Ricky Chan collaborates with scholars based in United States, Greece and China. Ricky Chan's co-authors include Vera L. Bonilha, Onkar B. Sawant, Ivy S. Samuels, Sujata Rao, Thomas P. Burris, Keiki Sugi, Xudong Liao, Lilei Zhang, Yuyan Shen and Rongli Zhang and has published in prestigious journals such as Gastroenterology, Oncogene and Scientific Reports.

In The Last Decade

Ricky Chan

10 papers receiving 205 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ricky Chan United States 6 80 76 35 33 27 10 206
Jeans M. Santana United States 11 48 0.6× 74 1.0× 26 0.7× 15 0.5× 35 1.3× 17 336
Icía Santos‐Zas Spain 10 41 0.5× 161 2.1× 79 2.3× 32 1.0× 36 1.3× 14 268
Maoqing Tong China 12 47 0.6× 178 2.3× 31 0.9× 112 3.4× 8 0.3× 18 415
Nilofar Khan India 5 14 0.2× 139 1.8× 22 0.6× 23 0.7× 18 0.7× 12 267
Saori Kinoshita Japan 11 49 0.6× 118 1.6× 48 1.4× 13 0.4× 7 0.3× 19 351
Basil Schaheen United States 9 13 0.2× 65 0.9× 54 1.5× 54 1.6× 12 0.4× 12 360
Fumiko Tajima Japan 8 69 0.9× 85 1.1× 103 2.9× 63 1.9× 14 0.5× 9 341
Kosuke R. Shima Japan 7 106 1.3× 43 0.6× 96 2.7× 9 0.3× 6 0.2× 17 232
John F. Martin United Kingdom 7 17 0.2× 35 0.5× 138 3.9× 54 1.6× 26 1.0× 10 305
Toshiyuki Hayashi Japan 11 13 0.2× 45 0.6× 31 0.9× 57 1.7× 5 0.2× 26 310

Countries citing papers authored by Ricky Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ricky Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricky Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Ricky Chan. A scholar is included among the top collaborators of Ricky Chan 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 Ricky Chan. Ricky Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Menghini, Paola, Ludovica F. Buttó, Adrian Gomez-Nguyen, et al.. (2025). Tumor Necrosis Factor-Like Ligand 1A/Death Receptor 3 Signaling Regulates the Generation of Pathogenic T Helper 9 Cells in Experimental Crohn’s Disease. Gastroenterology. 169(5). 892–908. 1 indexed citations
2.
Qing, Yulan, Ricky Chan, Pingfu Fu, et al.. (2023). Impact of age, antiretroviral therapy, and cancer on epigenetic aging in people living with HIV. Cancer Medicine. 12(9). 11010–11019. 4 indexed citations
3.
Mamidi, Murali K., William E. Samsa, Yuqing Chen, et al.. (2021). The transcriptional cofactor Jab1/Cops5 is crucial for BMP‐mediated mouse chondrocyte differentiation by repressing p53 activity. Journal of Cellular Physiology. 236(8). 5686–5697. 4 indexed citations
4.
Rana, Priyanka S., Wei Wang, Vesna Markovic, et al.. (2021). YB1 Is a Major Contributor to Health Disparities in Triple Negative Breast Cancer. Cancers. 13(24). 6262–6262. 7 indexed citations
5.
Mamidi, Murali K., William E. Samsa, David Danielpour, Ricky Chan, & Guang Zhou. (2021). The transcription co-factor JAB1/COPS5, serves as a potential oncogenic hub of human chondrosarcoma cells in vitro.. American Journal of Cancer Research. 11(10). 5063–5075. 2 indexed citations
6.
Gangwar, Roopesh Singh, Vinesh Vinayachandran, Rengasamy Palanivel, et al.. (2020). Differential contribution of bone marrow-derived infiltrating monocytes and resident macrophages to persistent lung inflammation in chronic air pollution exposure. Scientific Reports. 10(1). 14348–14348. 19 indexed citations
7.
Samsa, William E., Murali K. Mamidi, Alexander Miron, et al.. (2020). The crucial p53-dependent oncogenic role of JAB1 in osteosarcoma in vivo. Oncogene. 39(23). 4581–4591. 22 indexed citations
8.
Sawant, Onkar B., et al.. (2017). The Circadian Clock Gene Bmal1 Controls Thyroid Hormone-Mediated Spectral Identity and Cone Photoreceptor Function. Cell Reports. 21(3). 692–706. 60 indexed citations
9.
Zhang, Lilei, Rongli Zhang, Ricky Chan, et al.. (2017). REV-ERBα ameliorates heart failure through transcription repression. JCI Insight. 2(17). 56 indexed citations
10.
Chu, Chiu‐Wing Winnie, Ricky Chan, SM Ng, et al.. (2001). Incidence of deep vein thrombosis after colorectal surgery in a Chinese population. ANZ Journal of Surgery. 71(11). 637–640. 31 indexed citations

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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