Marilyn Marron

406 total citations
11 papers, 328 citations indexed

About

Marilyn Marron is a scholar working on Immunology, Oncology and Physiology. According to data from OpenAlex, Marilyn Marron has authored 11 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Oncology and 3 papers in Physiology. Recurrent topics in Marilyn Marron's work include Immunotherapy and Immune Responses (3 papers), Phagocytosis and Immune Regulation (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). Marilyn Marron is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Phagocytosis and Immune Regulation (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). Marilyn Marron collaborates with scholars based in United States and United Kingdom. Marilyn Marron's co-authors include Emmanuel Katsanis, Yi Zeng, Nicolas Larmonier, Samita Andreansky, Xinchun Chen, Jessica Cantrell, Pavani Chalasani, Alison Stopeck, Maria Iannone and Robert B. Livingston and has published in prestigious journals such as Journal of Clinical Oncology, Blood and International Journal of Cancer.

In The Last Decade

Marilyn Marron

11 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marilyn Marron United States 6 226 121 90 24 19 11 328
Diana I. Albu United States 8 296 1.3× 107 0.9× 140 1.6× 39 1.6× 16 0.8× 16 464
Justin Le United States 3 305 1.3× 142 1.2× 71 0.8× 19 0.8× 16 0.8× 7 365
Jung‐Ah Kang South Korea 11 190 0.8× 81 0.7× 177 2.0× 48 2.0× 38 2.0× 27 399
Y Tsuruta Japan 10 106 0.5× 71 0.6× 150 1.7× 18 0.8× 16 0.8× 17 364
Megan A. Luckey United States 13 312 1.4× 114 0.9× 84 0.9× 16 0.7× 16 0.8× 21 405
Marika Pla France 9 127 0.6× 64 0.5× 184 2.0× 35 1.5× 49 2.6× 15 375
Hanxi Xiao United States 10 167 0.7× 82 0.7× 109 1.2× 47 2.0× 7 0.4× 19 309
Kristine Moltu Norway 5 144 0.6× 71 0.6× 94 1.0× 14 0.6× 12 0.6× 7 238
Bradley R. Pearse United States 8 98 0.4× 48 0.4× 176 2.0× 15 0.6× 23 1.2× 15 324

Countries citing papers authored by Marilyn Marron

Since Specialization
Citations

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

Fields of papers citing papers by Marilyn Marron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marilyn Marron

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

All Works

11 of 11 papers shown
2.
Brown‐Glaberman, Ursa, Marilyn Marron, Pavani Chalasani, et al.. (2016). Circulating Carbonic Anhydrase IX and Antiangiogenic Therapy in Breast Cancer. Disease Markers. 2016. 1–7. 16 indexed citations
3.
Chalasani, Pavani, Jennifer Segar, Marilyn Marron, & Alison Stopeck. (2016). Pathophysiology of tumour-induced microangiopathic haemolytic anaemia. BMJ Case Reports. 2016. bcr2015213521–bcr2015213521. 4 indexed citations
4.
Chalasani, Pavani, Marilyn Marron, Denise J. Roe, et al.. (2015). A phase I clinical trial of bavituximab and paclitaxel in patients with HER2 negative metastatic breast cancer. Cancer Medicine. 4(7). 1051–1059. 37 indexed citations
5.
Chalasani, Pavani, et al.. (2013). Phase I clinical trial of bavituximab (Bavi) and paclitaxel (P) in patients (pts) with HER2-negative metastatic breast cancer (MBC).. Journal of Clinical Oncology. 31(15_suppl). 567–567. 1 indexed citations
6.
Zheng, Xiangjun, Linan Jiang, Joyce A. Schroeder, et al.. (2012). On the minimum detection limit of circulating tumor cells in an antibody-functionalized microchannel array. 87–91. 1 indexed citations
7.
Zheng, Xiangjun, Linan Jiang, Joyce A. Schroeder, et al.. (2012). Flow-rate dependent capture of circulating tumor cells in bio-functional microchannels. 82–86. 1 indexed citations
8.
Larmonier, Nicolas, Marilyn Marron, Yi Zeng, et al.. (2006). Tumor-derived CD4+CD25+ regulatory T cell suppression of dendritic cell function involves TGF-β and IL-10. Cancer Immunology Immunotherapy. 56(1). 48–59. 181 indexed citations
9.
Zeng, Yi, Xinchun Chen, Nicolas Larmonier, et al.. (2006). Natural killer cells play a key role in the antitumor immunity generated by chaperone‐rich cell lysate vaccination. International Journal of Cancer. 119(11). 2624–2631. 29 indexed citations
11.
Goatley, Lynnette C., Marilyn Marron, S. Jacobs, et al.. (1999). Nuclear and nucleolar localization of an African swine fever virus protein, I14L, that is similar to the herpes simplex virus-encoded virulence factor ICP34.5.. Journal of General Virology. 80(3). 525–535. 24 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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