James M. Bugni

1.2k total citations
16 papers, 967 citations indexed

About

James M. Bugni is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, James M. Bugni has authored 16 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Genetics. Recurrent topics in James M. Bugni's work include DNA Repair Mechanisms (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). James M. Bugni is often cited by papers focused on DNA Repair Mechanisms (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). James M. Bugni collaborates with scholars based in United States, Japan and Canada. James M. Bugni's co-authors include Leona D. Samson, Diana Borenshtein, James G. Fox, Lisiane B. Meira, Peter C. Dedon, Barry Rickman, David B. Schauer, José L. McFaline‐Figueroa, Bo Pang and Arlin B. Rogers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

James M. Bugni

14 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James M. Bugni United States	12	546	280	248	181	144	16	967
Wenche Sjursen Norway	20	483 0.9×	422 1.5×	304 1.2×	388 2.1×	106 0.7×	39	1.1k
Megan Garrity-Park United States	13	474 0.9×	144 0.5×	198 0.8×	141 0.8×	146 1.0×	19	968
Earl Lawrence United States	12	733 1.3×	257 0.9×	320 1.3×	98 0.5×	83 0.6×	14	1.5k
Irit Zurer Israel	10	590 1.1×	228 0.8×	357 1.4×	102 0.6×	108 0.8×	11	951
Gerasimos P. Vandoros Greece	14	353 0.6×	154 0.6×	195 0.8×	127 0.7×	67 0.5×	24	797
Zihuan Yang China	21	678 1.2×	321 1.1×	272 1.1×	86 0.5×	125 0.9×	57	1.1k
Hai Li China	17	532 1.0×	414 1.5×	223 0.9×	83 0.5×	202 1.4×	66	1.2k
Robert T. Cormier United States	18	960 1.8×	322 1.1×	386 1.6×	269 1.5×	91 0.6×	28	1.5k
Lisa Vanderveer United States	22	816 1.5×	238 0.8×	297 1.2×	154 0.9×	82 0.6×	29	1.3k
David Qualtrough United Kingdom	13	429 0.8×	244 0.9×	199 0.8×	81 0.4×	55 0.4×	17	852

Countries citing papers authored by James M. Bugni

Since Specialization

Citations

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

Fields of papers citing papers by James M. Bugni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Bugni. 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 James M. Bugni. The network helps show where James M. Bugni may publish in the future.

Co-authorship network of co-authors of James M. Bugni

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

All Works

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16 of 16 papers shown

Kaseb, Ahmed O., James M. Bugni, Xianzhi Meng, et al.. (2024). 985P Analysis of antidrug antibodies (ADA) to camrelizumab in CARES-310: The pivotal phase III study of camrelizumab + rivoceranib in unresectable hepatocellular carcinoma (uHCC). Annals of Oncology. 35. S671–S672. 1 indexed citations

Mehandru, Saurabh, et al.. (2023). Understanding the molecular mechanisms of anti-trafficking therapies and their clinical relevance in inflammatory bowel disease. Mucosal Immunology. 16(6). 859–870. 3 indexed citations

Wang, Yufang, Channing J. Der, Sérgia Velho, et al.. (2020). Mutant N-RAS Protects Colorectal Cancer Cells from Stress-Induced Apoptosis and Contributes to Cancer Development and Progression. UNC Libraries.

Pothoulakis, Charalabos, et al.. (2013). Diet-Induced Obesity Promotes Colon Tumor Development in Azoxymethane-Treated Mice. PLoS ONE. 8(4). e60939–e60939. 36 indexed citations

Cherukuri, Durga, Tomo‐o Ishikawa, Patrick Chun, et al.. (2013). Targeted Cox2 gene deletion in intestinal epithelial cells decreases tumorigenesis in female, but not male, Apc^Min/+ mice. Molecular Oncology. 8(2). 169–177. 18 indexed citations

Wang, Yufang, Sérgia Velho, Efsevia Vakiani, et al.. (2012). Mutant N-RAS Protects Colorectal Cancer Cells from Stress-Induced Apoptosis and Contributes to Cancer Development and Progression. Cancer Discovery. 3(3). 294–307. 42 indexed citations

Bugni, James M., et al.. (2011). The neurotensin receptor‐1 promotes tumor development in a sporadic but not an inflammation‐associated mouse model of colon cancer. International Journal of Cancer. 130(8). 1798–1805. 28 indexed citations

Polytarchou, Christos, James M. Bugni, Sarah Dry, C Pothoulakis, & Dimitrios Iliopoulos. (2011). Effects of a neurokinin-1 receptor (NK-1R) antagonist on colon cancer through suppression of colon tumor–initiating cells.. Journal of Clinical Oncology. 29(15_suppl). 3614–3614.

Καραγιαννίδης, Ιορδάνης, Kyriaki Bakirtzi, Efi Kokkotou, et al.. (2011). Substance P (SP)-Neurokinin-1 Receptor (NK-1R) Alters Adipose Tissue Responses to High-Fat Diet and Insulin Action. Endocrinology. 152(6). 2197–2205. 36 indexed citations

10.

Albertson, Tina, Masanori Ogawa, James M. Bugni, et al.. (2009). DNA polymerase ε and δ proofreading suppress discrete mutator and cancer phenotypes in mice. Proceedings of the National Academy of Sciences. 106(40). 17101–17104. 180 indexed citations

11.

Meira, Lisiane B., James M. Bugni, Chung‐Wei Lee, et al.. (2008). DNA damage induced by chronic inflammation contributes to colon carcinogenesis in mice. Journal of Clinical Investigation. 118(7). 2516–25. 436 indexed citations

12.

Fry, Rebecca C., J. Peter Svensson, Chandni Valiathan, et al.. (2008). Genomic predictors of interindividual differences in response to DNA damaging agents. Genes & Development. 22(19). 2621–2626. 51 indexed citations

13.

Bugni, James M., Jiali Han, Miaw-Sheue Tsai, David J. Hunter, & Leona D. Samson. (2007). Genetic association and functional studies of major polymorphic variants of MGMT. DNA repair. 6(8). 1116–1126. 32 indexed citations

14.

Tranah, Gregory J., James M. Bugni, Edward L. Giovannucci, et al.. (2006). O6-Methylguanine-DNA Methyltransferase Leu84Phe and Ile143Val Polymorphisms and Risk of Colorectal Cancer in the Nurses’ Health Study and Physicians’ Health Study (United States). Cancer Causes & Control. 17(5). 721–731. 40 indexed citations

15.

Bugni, James M., et al.. (2001). The little mutation suppresses DEN-induced hepatocarcinogenesis in mice and abrogates genetic and hormonal modulation of susceptibility. Carcinogenesis. 22(11). 1853–1862. 39 indexed citations

16.

Lee, Gang‐Hong, et al.. (1997). Genetic dissection of susceptibility to murine ovarian teratomas that originate from parthenogenetic oocytes.. PubMed. 57(4). 590–3. 25 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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