Mark G. Cadungog

2.1k total citations
17 papers, 1.3k citations indexed

About

Mark G. Cadungog is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Mark G. Cadungog has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Mark G. Cadungog's work include Cancer Immunotherapy and Biomarkers (6 papers), Immune Cell Function and Interaction (5 papers) and Ovarian cancer diagnosis and treatment (4 papers). Mark G. Cadungog is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Immune Cell Function and Interaction (5 papers) and Ovarian cancer diagnosis and treatment (4 papers). Mark G. Cadungog collaborates with scholars based in United States, Italy and Slovakia. Mark G. Cadungog's co-authors include Rugang Zhang, George Coukos, Amelia J. Tesone, Michael J. Allegrezza, Nikolaos Svoronos, Julia Tchou, Melanie R. Rutkowski, Jenny Nguyen, José R. Conejo-García and Alfredo Perales‐Puchalt and has published in prestigious journals such as Nature Communications, Cancer Cell and Cancer.

In The Last Decade

Mark G. Cadungog

16 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark G. Cadungog United States	12	629	540	524	243	148	17	1.3k
Isabelle Matte Canada	20	424 0.7×	514 1.0×	403 0.8×	365 1.5×	200 1.4×	22	1.2k
Denis Lane Canada	20	359 0.6×	455 0.8×	391 0.7×	302 1.2×	175 1.2×	26	1.1k
Andrew N. Stephens Australia	17	342 0.5×	304 0.6×	221 0.4×	339 1.4×	162 1.1×	32	892
Michele Cummings United Kingdom	18	290 0.5×	384 0.7×	198 0.4×	171 0.7×	171 1.2×	36	933
Ningfeng Fiona Li United Kingdom	11	505 0.8×	457 0.8×	587 1.1×	87 0.4×	216 1.5×	11	1.2k
Julian A. Gingold United States	17	244 0.4×	702 1.3×	173 0.3×	258 1.1×	293 2.0×	60	1.3k
Xuesong Yang China	20	361 0.6×	715 1.3×	308 0.6×	65 0.3×	390 2.6×	33	1.2k
Masanori Kanemura Japan	18	309 0.5×	415 0.8×	86 0.2×	269 1.1×	193 1.3×	37	920
Synnöve Staff Finland	20	429 0.7×	454 0.8×	79 0.2×	264 1.1×	172 1.2×	48	1.2k
Yoshimichi Tanaka Japan	16	269 0.4×	350 0.6×	87 0.2×	280 1.2×	194 1.3×	45	850

Countries citing papers authored by Mark G. Cadungog

Since Specialization

Citations

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

Fields of papers citing papers by Mark G. Cadungog

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark G. Cadungog. 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 Mark G. Cadungog. The network helps show where Mark G. Cadungog may publish in the future.

Co-authorship network of co-authors of Mark G. Cadungog

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

All Works

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17 of 17 papers shown

Yuan, Zhe, Xiao Sun, Emmanouil Papasavvas, et al.. (2024). Abstract 4185: Neutralizing human IFN-β combined with anti-human PD-L1 and anti-human CTLA-4 treatment increased control of endometrial tumor growth in a novel HLA-A matched BLT humanized mice. Cancer Research. 84(6_Supplement). 4185–4185.

Karakashev, Sergey, Takeshi Fukumoto, Bo Zhao, et al.. (2020). EZH2 Inhibition Sensitizes CARM1-High, Homologous Recombination Proficient Ovarian Cancers to PARP Inhibition. Cancer Cell. 37(2). 157–167.e6. 97 indexed citations

Nacarelli, Timothy, Takeshi Fukumoto, Joseph A. Zundell, et al.. (2019). NAMPT Inhibition Suppresses Cancer Stem-like Cells Associated with Therapy-Induced Senescence in Ovarian Cancer. Cancer Research. 80(4). 890–900. 112 indexed citations

Zhao, Bo, Jianhuang Lin, Lijie Rong, et al.. (2019). ARID1A promotes genomic stability through protecting telomere cohesion. Nature Communications. 10(1). 4067–4067. 40 indexed citations

Harper, Sandra L., Aaron R. Goldman, Benjamin G. Bitler, et al.. (2018). CLIC1 and CLIC4 complement CA125 as a diagnostic biomarker panel for all subtypes of epithelial ovarian cancer. Scientific Reports. 8(1). 14725–14725. 33 indexed citations

Klebanoff, Jordan S., et al.. (2018). Malignant Transformation of Endometriosis in the Ischioanal Fossa. Case Reports in Obstetrics and Gynecology. 2018(1). 5643040–5643040. 1 indexed citations

Svoronos, Nikolaos, Alfredo Perales‐Puchalt, Michael J. Allegrezza, et al.. (2016). Tumor Cell–Independent Estrogen Signaling Drives Disease Progression through Mobilization of Myeloid-Derived Suppressor Cells. Cancer Discovery. 7(1). 72–85. 152 indexed citations

Perales‐Puchalt, Alfredo, Nikolaos Svoronos, Melanie R. Rutkowski, et al.. (2016). Follicle-Stimulating Hormone Receptor Is Expressed by Most Ovarian Cancer Subtypes and Is a Safe and Effective Immunotherapeutic Target. Clinical Cancer Research. 23(2). 441–453. 82 indexed citations

Wasson, Megan, et al.. (2015). Postmenopausal Bleeding Resulting from Acute Myeloid Leukemia Infiltration of the Endometrium.. PubMed. 87(7). 212–5. 1 indexed citations

10.

Rutkowski, Melanie R., Tom L. Stephen, Nikolaos Svoronos, et al.. (2014). Microbially Driven TLR5-Dependent Signaling Governs Distal Malignant Progression through Tumor-Promoting Inflammation. Cancer Cell. 27(1). 27–40. 237 indexed citations

11.

Hagemann, Andrea R., Mark G. Cadungog, Ian S. Hagemann, et al.. (2011). Tissue-based immune monitoring I. Cancer Biology & Therapy. 12(4). 357–366. 11 indexed citations

12.

Hagemann, Andrea R., Ian S. Hagemann, Mark G. Cadungog, et al.. (2011). Tissue-based immune monitoring II. Cancer Biology & Therapy. 12(4). 367–377. 18 indexed citations

13.

Adams, Sarah F., Douglas A. Levine, Mark G. Cadungog, et al.. (2009). Intraepithelial T cells and tumor proliferation. Cancer. 115(13). 2891–2902. 101 indexed citations

14.

Clarke, Blaise, Anna V. Tinker, Cheng‐Han Lee, et al.. (2008). Intraepithelial T cells and prognosis in ovarian carcinoma: novel associations with stage, tumor type, and BRCA1 loss. Modern Pathology. 22(3). 393–402. 227 indexed citations

15.

Gimotty, Phyllis A., Lin Zhang, Mark G. Cadungog, et al.. (2007). Immune Prognostic Factors in Ovarian Cancer: Lessons from Translational Research. Disease Markers. 23(5-6). 445–452. 4 indexed citations

16.

Zhang, Lin, Jia Huang, Nuo Yang, et al.. (2006). Integrative Genomic Analysis of Protein Kinase C (PKC) Family Identifies PKCι as a Biomarker and Potential Oncogene in Ovarian Carcinoma. Cancer Research. 66(9). 4627–4635. 109 indexed citations

17.

Awtrey, Christopher S., Mark G. Cadungog, Mario M. Leitão, et al.. (2006). Surgical resection of recurrent endometrial carcinoma. Gynecologic Oncology. 102(3). 480–488. 58 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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