Weiming Gai

715 total citations
11 papers, 548 citations indexed

About

Weiming Gai is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Weiming Gai has authored 11 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Weiming Gai's work include Fibroblast Growth Factor Research (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Genetic Syndromes and Imprinting (2 papers). Weiming Gai is often cited by papers focused on Fibroblast Growth Factor Research (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Genetic Syndromes and Imprinting (2 papers). Weiming Gai collaborates with scholars based in United States, China and Australia. Weiming Gai's co-authors include David Polsky, Iman Osman, Alan N. Houghton, Klaus J. Busam, Alexis Gorden, Weiqing Huang, Dan He, Moosa Mohammadi, Makoto Kuro‐o and Mohammed S. Razzaque and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Molecular Cell.

In The Last Decade

Weiming Gai

11 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weiming Gai United States	10	432	171	74	68	62	11	548
Annette Lane Australia	6	663 1.5×	181 1.1×	25 0.3×	80 1.2×	14 0.2×	7	782
Anders Kallin Sweden	12	490 1.1×	182 1.1×	42 0.6×	112 1.6×	9 0.1×	16	740
Xiaochong Wu United States	16	665 1.5×	130 0.8×	65 0.9×	118 1.7×	10 0.2×	22	817
Laura Rodón United States	6	447 1.0×	212 1.2×	46 0.6×	109 1.6×	8 0.1×	12	552
Josephine Iaria Australia	11	308 0.7×	203 1.2×	26 0.4×	92 1.4×	15 0.2×	14	459
Dongpo Cai United States	12	537 1.2×	320 1.9×	45 0.6×	97 1.4×	9 0.1×	19	759
Alba Gonzàlez-Juncà United States	8	527 1.2×	253 1.5×	42 0.6×	141 2.1×	7 0.1×	13	697
Shany Koren Switzerland	8	367 0.8×	320 1.9×	43 0.6×	194 2.9×	9 0.1×	9	622
Thomas Waerner Germany	10	636 1.5×	306 1.8×	83 1.1×	150 2.2×	7 0.1×	13	866
Mathilde Romagnoli France	15	361 0.8×	226 1.3×	46 0.6×	161 2.4×	6 0.1×	24	584

Countries citing papers authored by Weiming Gai

Since Specialization

Citations

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

Fields of papers citing papers by Weiming Gai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming Gai

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

All Works

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11 of 11 papers shown

Shen, Yingran, Chandra Goparaju, Yang Yang, et al.. (2023). Recurrence prediction of lung adenocarcinoma using an immune gene expression and clinical data trained and validated support vector machine classifier. Translational Lung Cancer Research. 12(10). 2055–2067. 1 indexed citations

Chen, Huaibin, William M. Marsiglia, Min‐Kyu Cho, et al.. (2017). Elucidation of a four-site allosteric network in fibroblast growth factor receptor tyrosine kinases. eLife. 6. 40 indexed citations

Huang, Zhifeng, William M. Marsiglia, Upal Roy, et al.. (2015). Two FGF Receptor Kinase Molecules Act in Concert to Recruit and Transphosphorylate Phospholipase Cγ. Molecular Cell. 61(1). 98–110. 42 indexed citations

Goetz, Regina, Mutsuko Ohnishi, Serkan Kır, et al.. (2012). Conversion of a Paracrine Fibroblast Growth Factor into an Endocrine Fibroblast Growth Factor. Journal of Biological Chemistry. 287(34). 29134–29146. 74 indexed citations

Goetz, Regina, Mutsuko Ohnishi, Xunshan Ding, et al.. (2012). Klotho Coreceptors Inhibit Signaling by Paracrine Fibroblast Growth Factor 8 Subfamily Ligands. Molecular and Cellular Biology. 32(10). 1944–1954. 60 indexed citations

Freedberg, Daniel E., Julie E. Russak, Weiming Gai, et al.. (2008). Frequent p16-Independent Inactivation of p14ARF in Human Melanoma. JNCI Journal of the National Cancer Institute. 100(11). 784–795. 80 indexed citations

Han, Sandra Y., Weiming Gai, Molly Yancovitz, et al.. (2008). Nucleofection is a highly effective gene transfer technique for human melanoma cell lines. Experimental Dermatology. 17(5). 405–411. 11 indexed citations

Yancovitz, Molly, Maryann Mikhail, Weiming Gai, et al.. (2007). Detection of Mutant BRAF Alleles in the Plasma of Patients with Metastatic Melanoma. Journal of Molecular Diagnostics. 9(2). 178–183. 34 indexed citations

Gorden, Alexis, Iman Osman, Weiming Gai, et al.. (2003). Analysis of BRAF and N-RAS mutations in metastatic melanoma tissues.. PubMed. 63(14). 3955–7. 170 indexed citations

10.

Marshall, Patricia, et al.. (1999). Interaction Between Terminal Complement Proteins C5b-7 and Anionic Phospholipids. Blood. 93(7). 2297–2301. 19 indexed citations

11.

Marshall, Patricia, et al.. (1999). Interaction Between Terminal Complement Proteins C5b-7 and Anionic Phospholipids. Blood. 93(7). 2297–2301. 17 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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