Weiniu Gan

20.8k total citations
10 papers, 344 citations indexed

About

Weiniu Gan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Weiniu Gan has authored 10 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Weiniu Gan's work include RNA and protein synthesis mechanisms (4 papers), Viral Infections and Immunology Research (2 papers) and Health, Environment, Cognitive Aging (2 papers). Weiniu Gan is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Viral Infections and Immunology Research (2 papers) and Health, Environment, Cognitive Aging (2 papers). Weiniu Gan collaborates with scholars based in United States and Spain. Weiniu Gan's co-authors include Robert E. Rhoads, Brett D. Keiper, Stephen M. Beckstrom‐Sternberg, Aaron D. Laposky, Jacquelyn R. Idol, Scott Schwartz, Robert W. Blakesley, Pamela J. Thomas, Dorothy B. Gail and Udaya DeSilva and has published in prestigious journals such as Journal of Biological Chemistry, American Journal of Respiratory and Critical Care Medicine and Genome Research.

In The Last Decade

Weiniu Gan

10 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiniu Gan United States 7 259 91 56 33 27 10 344
René L. Myers United States 9 272 1.1× 55 0.6× 53 0.9× 16 0.5× 25 0.9× 13 368
Jianzhong Zhao China 7 213 0.8× 55 0.6× 57 1.0× 11 0.3× 7 0.3× 12 330
Urraca Tavarez United States 7 321 1.2× 15 0.2× 56 1.0× 22 0.7× 5 0.2× 9 497
Francesco Panariello Italy 6 154 0.6× 19 0.2× 13 0.2× 32 1.0× 4 0.1× 7 333
Swetansu K. Hota United States 11 575 2.2× 10 0.1× 62 1.1× 12 0.4× 5 0.2× 17 626
Srikanth Ravichandran Luxembourg 6 237 0.9× 22 0.2× 15 0.3× 21 0.6× 3 0.1× 18 280
Takuya Saiwaki Japan 8 422 1.6× 15 0.2× 31 0.6× 8 0.2× 3 0.1× 11 470
Athanassios Adamopoulos Netherlands 6 350 1.4× 24 0.3× 19 0.3× 9 0.3× 9 0.3× 8 445
Sabine Hacot France 11 286 1.1× 28 0.3× 29 0.5× 10 0.3× 4 0.1× 13 358
Siyou Tan United States 9 376 1.5× 7 0.1× 38 0.7× 10 0.3× 5 0.2× 20 437

Countries citing papers authored by Weiniu Gan

Since Specialization
Citations

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

Fields of papers citing papers by Weiniu Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiniu Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Weiniu Gan. A scholar is included among the top collaborators of Weiniu Gan 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 Weiniu Gan. Weiniu Gan 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.
Li, Huiqing, Marissa A. Miller, Catherine Burke, et al.. (2019). Portfolio Analysis of Research Grants in Data Science Funded by the National Heart, Lung, and Blood Institute. Circulation Genomic and Precision Medicine. 12(12). e002746–e002746. 3 indexed citations
2.
Gan, Weiniu. (2018). Interview with a Thought Leader on Systems Medicine—Weiniu Gan, PhD. 1(1). 9–10. 3 indexed citations
3.
Balch, William E., Jacob I. Sznajder, Daniel Finley, et al.. (2013). Malfolded Protein Structure and Proteostasis in Lung Diseases. American Journal of Respiratory and Critical Care Medicine. 189(1). 96–103. 44 indexed citations
4.
Schwartz, David A., Julian Solway, Dorothy B. Gail, et al.. (2012). Genomic Medicine and Lung Diseases. American Journal of Respiratory and Critical Care Medicine. 186(3). 280–285. 6 indexed citations
5.
Ober, Carole, Atul J. Butte, Jack A. Elias, et al.. (2010). Getting from Genes to Function in Lung Disease: A National Heart, Lung, and Blood Institute Workshop Report. American Journal of Respiratory and Critical Care Medicine. 182(6). 732–737. 7 indexed citations
6.
Noël, Patricia, Weiniu Gan, & James P. Kiley. (2008). Molecular Phenotyping for Severe Asthma. Personalized Medicine. 5(3). 301–304. 1 indexed citations
7.
DeSilva, Udaya, Laura Elnitski, Jacquelyn R. Idol, et al.. (2002). Generation and Comparative Analysis of ∼3.3 Mb of Mouse Genomic Sequence Orthologous to the Region of Human Chromosome 7q11.23 Implicated in Williams Syndrome. Genome Research. 12(1). 3–15. 60 indexed citations
8.
Keiper, Brett D., Weiniu Gan, & Robert E. Rhoads. (1999). Protein synthesis initiation factor 4G. The International Journal of Biochemistry & Cell Biology. 31(1). 37–41. 57 indexed citations
9.
Gan, Weiniu, et al.. (1998). Functional Characterization of the Internal Ribosome Entry Site of eIF4G mRNA. Journal of Biological Chemistry. 273(9). 5006–5012. 72 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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