Gary R. Fanger

4.9k total citations · 1 hit paper
55 papers, 4.0k citations indexed

About

Gary R. Fanger is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Gary R. Fanger has authored 55 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 13 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Gary R. Fanger's work include Epigenetics and DNA Methylation (8 papers), Melanoma and MAPK Pathways (6 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). Gary R. Fanger is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Melanoma and MAPK Pathways (6 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). Gary R. Fanger collaborates with scholars based in United States, United Kingdom and Japan. Gary R. Fanger's co-authors include Gary L. Johnson, Christian Widmann, Bruce A. Woda, Zhong Jiang, Matthew Jarpe, Karen Dresser, Pär Gerwins, Jiangchun Xu, Bryan Oronsky and Kenneth L. Rock and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Gary R. Fanger

54 papers receiving 4.0k citations

Hit Papers

Enterococcus peptidoglycan remodeling promotes checkpoint... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary R. Fanger United States 31 2.5k 954 800 769 599 55 4.0k
David J. Mulholland United States 28 2.9k 1.2× 1.2k 1.2× 1.2k 1.5× 937 1.2× 329 0.5× 50 4.4k
Ming‐Fong Lin United States 37 2.5k 1.0× 938 1.0× 1.6k 2.0× 748 1.0× 327 0.5× 100 4.1k
Maréne Landström Sweden 32 3.2k 1.3× 1.3k 1.3× 553 0.7× 1.0k 1.3× 493 0.8× 81 4.7k
Isidro Sánchez‐García Spain 36 2.7k 1.1× 1.3k 1.4× 454 0.6× 669 0.9× 461 0.8× 115 4.4k
Jean Mosser France 39 2.8k 1.1× 860 0.9× 551 0.7× 658 0.9× 536 0.9× 115 5.1k
John D. Hooper Australia 35 1.9k 0.8× 1.1k 1.1× 468 0.6× 1.1k 1.4× 406 0.7× 120 4.1k
Stéphane Terry France 33 1.6k 0.7× 1.1k 1.2× 1.4k 1.7× 1.1k 1.4× 650 1.1× 68 3.6k
Eric Chastre France 33 2.5k 1.0× 1.0k 1.1× 305 0.4× 548 0.7× 263 0.4× 92 4.1k
Youyong Lu China 35 2.8k 1.1× 1.4k 1.4× 443 0.6× 1.5k 2.0× 358 0.6× 122 4.4k

Countries citing papers authored by Gary R. Fanger

Since Specialization
Citations

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

Fields of papers citing papers by Gary R. Fanger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary R. Fanger. 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 Gary R. Fanger. The network helps show where Gary R. Fanger may publish in the future.

Co-authorship network of co-authors of Gary R. Fanger

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

All Works

20 of 20 papers shown
1.
Akgül, Ali, Massimo Maddaloni, Carol Hoffman, et al.. (2023). Treatment with a Lactococcus lactis that chromosomally express E. coli cfaI mitigates salivary flow loss in a Sjögren’s syndrome-like disease. Scientific Reports. 13(1). 19489–19489. 3 indexed citations
2.
Griffin, Matthew E., Juliel Espinosa, Ji‐Dung Luo, et al.. (2021). Enterococcus peptidoglycan remodeling promotes checkpoint inhibitor cancer immunotherapy. Science. 373(6558). 1040–1046. 241 indexed citations breakdown →
3.
Arukha, Ananta Prasad, Meerambika Mishra, Jyoti K. Jha, et al.. (2021). Lactococcus lactis Delivery of Surface Layer Protein A Protects Mice from Colitis by Re-Setting Host Immune Repertoire. Biomedicines. 9(9). 1098–1098. 8 indexed citations
4.
Fanger, Gary R., Robert A. Maue, Leslie Henderson, Joel S. Tabb, & Elizabeth Wilson. (2021). Suppression of sodium channel function in differentiating C2 muscle cells stably overexpressing rat androgen receptors. UNC Libraries.
5.
Oronsky, Bryan, Gary R. Fanger, Neil Oronsky, Susan J. Knox, & Jan Scicinski. (2014). The Implications of Hyponitroxia in Cancer. Translational Oncology. 7(2). 167–173. 23 indexed citations
6.
Yantiss, Rhonda K., Bruce A. Woda, Gary R. Fanger, et al.. (2005). KOC (K Homology Domain Containing Protein Overexpressed in Cancer). The American Journal of Surgical Pathology. 29(2). 188–195. 139 indexed citations
7.
Stolk, John A., David A Molesh, Patricia D. McNeill, et al.. (2005). VSGP/F-Spondin: A New Ovarian Cancer Marker. Tumor Biology. 26(5). 245–257. 23 indexed citations
8.
Kalos, Michael, Jon Askaa, Bonnie L. Hylander, et al.. (2004). Prostein expression is highly restricted to normal and malignant prostate tissues. The Prostate. 60(3). 246–256. 61 indexed citations
9.
Wang, Aijun, et al.. (2003). A novel method for increasing the expression level of recombinant proteins. Protein Expression and Purification. 30(1). 124–133. 11 indexed citations
10.
Jiang, Zhong, Gary R. Fanger, Bruce A. Woda, et al.. (2003). Expression of α-methylacyl-coa racemase (p504s) in various malignant neoplasms and normal tissues: a study of 761 cases. Human Pathology. 34(8). 792–796. 144 indexed citations
11.
Fan, Liqing, Yoshihiro Watanabe, Patricia D. McNeill, et al.. (2003). L523S, an RNA-binding protein as a potential therapeutic target for lung cancer. British Journal of Cancer. 88(6). 887–894. 89 indexed citations
12.
Carter, Darrick, Davin C. Dillon, Lisa D. Reynolds, et al.. (2003). Serum antibodies to lipophilin B detected in late stage breast cancer patients.. PubMed. 9(2). 749–54. 17 indexed citations
13.
Foy, Teresa M., Gary R. Fanger, Susan L. Hand, et al.. (2002). Designing HER2 vaccines. Seminars in Oncology. 29(3). 53–61. 29 indexed citations
14.
Foy, Teresa M., et al.. (2002). Designing HER2 vaccines. Seminars in Oncology. 29(3 Suppl 11). 53–61. 19 indexed citations
15.
Yang, Ximing J., Chin‐Lee Wu, Bruce A. Woda, et al.. (2002). Expression of α-Methylacyl-CoA Racemase (P504S) in Atypical Adenomatous Hyperplasia of the Prostate. The American Journal of Surgical Pathology. 26(7). 921–925. 100 indexed citations
16.
Wang, Tongtong, Deborah Hopkins, Li-Qun Fan, et al.. (2001). A p53 homologue and a novel serine proteinase inhibitor are over-expressed in lung squamous cell carcinoma. Lung Cancer. 34(3). 363–374. 6 indexed citations
17.
Schaefer, Brian C., Margaret F. Ware, Philippa Marrack, et al.. (1999). Live Cell Fluorescence Imaging of T Cell MEKK2. Immunity. 11(4). 411–421. 49 indexed citations
18.
Fanger, Gary R., et al.. (1998). 14-3-3 Proteins Interact with Specific MEK Kinases. Journal of Biological Chemistry. 273(6). 3476–3483. 133 indexed citations
19.
Smith, Martin A., et al.. (1997). Selective Regulation of Agrin mRNA Induction and Alternative Splicing in PC12 Cells by Ras-dependent Actions of Nerve Growth Factor. Journal of Biological Chemistry. 272(25). 15675–15681. 30 indexed citations
20.
Fanger, Gary R.. (1997). MEK kinases are regulated by EGF and selectively interact with Rac/Cdc42. The EMBO Journal. 16(16). 4961–4972. 265 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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