Jim McBride

1.2k total citations
20 papers, 604 citations indexed

About

Jim McBride is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Jim McBride has authored 20 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Jim McBride's work include Cancer-related Molecular Pathways (8 papers), Microtubule and mitosis dynamics (3 papers) and Salivary Gland Disorders and Functions (3 papers). Jim McBride is often cited by papers focused on Cancer-related Molecular Pathways (8 papers), Microtubule and mitosis dynamics (3 papers) and Salivary Gland Disorders and Functions (3 papers). Jim McBride collaborates with scholars based in United States, Japan and China. Jim McBride's co-authors include David T. Wong, Randy Todd, Takanori Tsuji, Hiroe Ohyama, Michael I. Lerman, Ming Yung Chou, R. Bruce Donoff, Satoru Shintani, Miaofen G. Hu and Guo‐fu Hu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Jim McBride

20 papers receiving 592 citations

Author Peers

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

Author Last Decade Papers Cites
Jim McBride 362 245 96 90 56 20 604
E. Ken Parkinson 421 1.2× 251 1.0× 196 2.0× 84 0.9× 57 1.0× 8 744
G Emilion 350 1.0× 232 0.9× 139 1.4× 30 0.3× 43 0.8× 16 763
Mai Ohba 391 1.1× 386 1.6× 61 0.6× 52 0.6× 52 0.9× 16 727
Wei-Hua Jia 372 1.0× 207 0.8× 266 2.8× 27 0.3× 38 0.7× 9 767
Miyuki Nishikawa 438 1.2× 286 1.2× 100 1.0× 79 0.9× 16 0.3× 12 597
Antônio Hugo José Fróes Marques Campos 269 0.7× 175 0.7× 126 1.3× 63 0.7× 56 1.0× 40 599
B Heine 248 0.7× 161 0.7× 37 0.4× 129 1.4× 36 0.6× 14 470
Richard H. Kim 549 1.5× 113 0.5× 81 0.8× 16 0.2× 15 0.3× 14 671
Bert Bier 302 0.8× 232 0.9× 126 1.3× 24 0.3× 68 1.2× 21 690
Catherine Luk 334 0.9× 192 0.8× 154 1.6× 23 0.3× 121 2.2× 11 604

Countries citing papers authored by Jim McBride

Since Specialization
Citations

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

Fields of papers citing papers by Jim McBride

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim McBride

This figure shows the co-authorship network connecting the top 25 collaborators of Jim McBride. A scholar is included among the top collaborators of Jim McBride 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 Jim McBride. Jim McBride 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.
Gonzalez, Maria, Matteo S. Carlino, Robert Zielinski, et al.. (2016). An app to increase cross-referral and recruitment to melanoma clinical trials.. Journal of Clinical Oncology. 34(15_suppl). 9590–9590. 2 indexed citations
2.
Kim, Yong, et al.. (2009). Targeted Inactivation of p12Cdk2ap1, CDK2 Associating Protein 1, Leads to Early Embryonic Lethality. PLoS ONE. 4(2). e4518–e4518. 17 indexed citations
3.
Kim, Yong, Jim McBride, Rong Zhang, Xiaofeng Zhou, & David T. Wong. (2004). p12CDK2-AP1 mediates DNA damage responses induced by cisplatin. Oncogene. 24(3). 407–418. 14 indexed citations
4.
Hu, Shen, Patricia A. Denny, Paul Denny, et al.. (2004). Differentially expressed protein markers in human submandibular and sublingual secretions. International Journal of Oncology. 25(5). 1423–30. 46 indexed citations
5.
Hu, Miaofen G., Guo‐fu Hu, Yong Kim, et al.. (2004). Role of p12CDK2-AP1 in Transforming Growth Factor-β1-Mediated Growth Suppression. Cancer Research. 64(2). 490–499. 35 indexed citations
6.
Tsuji, Takanori, et al.. (2000). doc-1-Mediated apoptosis in malignant hamster oral keratinocytes. Journal of Oral and Maxillofacial Surgery. 58(4). 406–414. 20 indexed citations
7.
Shintani, Satoru, Hiroe Ohyama, Xue Zhang, et al.. (2000). p12DOC-1 Is a Novel Cyclin-Dependent Kinase 2-Associated Protein. Molecular and Cellular Biology. 20(17). 6300–6307. 7 indexed citations
8.
Shintani, Satoru, Hiroe Ohyama, Xue Zhang, et al.. (2000). p12DOC-1 Is a Novel Cyclin-Dependent Kinase 2-Associated Protein. Molecular and Cellular Biology. 20(17). 6300–6307. 65 indexed citations
9.
Shintani, Satoru, Takanori Tsuji, Emi Nagata, et al.. (2000). p12 DOC1 , a growth suppressor, associates with DNA polymerase α/primase. The FASEB Journal. 14(10). 1318–1324. 49 indexed citations
10.
Yamakawa, Midori, Robert S. Weinstein, Takanori Tsuji, et al.. (2000). Age-related Alterations in IL-1β, TNF-α, and IL-6 Concentrations in Parotid Acinar Cells from BALB/c and Non-obese Diabetic Mice. Journal of Histochemistry & Cytochemistry. 48(8). 1033–1041. 17 indexed citations
11.
Zhang, Xue, Hensin Tsao, Takanori Tsuji, et al.. (1999). Identification and Mutation Analysis ofDOC-1R,a DOC-1 Growth Suppressor-Related Gene. Biochemical and Biophysical Research Communications. 255(1). 59–63. 15 indexed citations
12.
Ohyama, Hiroe, Jim McBride, & David T. Wong. (1998). Optimized conditions for gene transfection into the human eosinophilic cell line EoL-1 by electroporation. Journal of Immunological Methods. 215(1-2). 105–111. 6 indexed citations
13.
Tsuji, Takanori, Fuh-Mei Duh, Farida Latif, et al.. (1998). Cloning, Mapping, Expression, Function, and Mutation Analyses of the Human Ortholog of the Hamster Putative Tumor Suppressor Gene doc-1. Journal of Biological Chemistry. 273(12). 6704–6709. 55 indexed citations
14.
Tsuji, Takanori, Randy Todd, Christian Meyer, et al.. (1998). Reduction of ornithine decarboxylase antizyme (ODC-Az) level in the 7,12-dimethylbenz(a)anthracene-induced hamster buccal pouch carcinogenesis model. Oncogene. 16(26). 3379–3385. 21 indexed citations
15.
Elovic, A, Hiroe Ohyama, Jim McBride, et al.. (1998). IL-4-Dependent Regulation of TGF-α and TGF-β1 Expression in Human Eosinophils. The Journal of Immunology. 160(12). 6121–6127. 54 indexed citations
16.
Tanda, Naoko, Hiroe Ohyama, Midori Yamakawa, et al.. (1998). IL-1β and IL-6 in mouse parotid acinar cells: characterization of synthesis, storage, and release. American Journal of Physiology-Gastrointestinal and Liver Physiology. 274(1). G147–G156. 23 indexed citations
17.
Todd, Randy, Jim McBride, R. Bruce Donoff, et al.. (1995). Deleted in oral cancer‐1 ( doc‐l), a novel oral tumor suppressor gene. The FASEB Journal. 9(13). 1362–1370. 76 indexed citations
18.
McBride, Jim, et al.. (1994). Sequential cytogenetic alterations in hamster oral keratinocytes during DMBA-induced oral carcinogenesis. European Journal of Cancer Part B Oral Oncology. 30(4). 252–264. 5 indexed citations
19.
McBride, Jim, et al.. (1991). Molecular cloning of the complementary DNA encoding for the hamster TGF- α mmature peptide. Carcinogenesis. 12(3). 529–532. 14 indexed citations
20.
Todd, Randy, Bruce Donoff, Robert E. Gertz, et al.. (1989). TGF-α and EGF-receptor mRNAs in human oral cancer. Carcinogenesis. 10(8). 1553–1556. 63 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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