Peter Maimonis

734 total citations
19 papers, 599 citations indexed

About

Peter Maimonis is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Immunology. According to data from OpenAlex, Peter Maimonis has authored 19 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Oncology and 8 papers in Immunology. Recurrent topics in Peter Maimonis's work include Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (6 papers) and HER2/EGFR in Cancer Research (4 papers). Peter Maimonis is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (6 papers) and HER2/EGFR in Cancer Research (4 papers). Peter Maimonis collaborates with scholars based in United States, Germany and Hong Kong. Peter Maimonis's co-authors include Shunji Ogata, Steven H. Itzkowitz, Tanja Fehm, Alexander Katalinic, Wolfram Jäger, Daniel F. Hayes, Donald Küfe, Carl O’Hara, Lucien Perey and Miyako Abe and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Peter Maimonis

19 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Maimonis United States 11 331 294 252 159 77 19 599
John B. Beard United States 7 302 0.9× 110 0.4× 121 0.5× 168 1.1× 63 0.8× 8 513
Robert Hinderer United States 13 497 1.5× 116 0.4× 125 0.5× 199 1.3× 50 0.6× 14 754
Sylvie M�nard Italy 7 227 0.7× 262 0.9× 193 0.8× 87 0.5× 74 1.0× 10 489
Edward W. Blank United States 13 406 1.2× 186 0.6× 392 1.6× 230 1.4× 62 0.8× 31 681
Marina Kiso Japan 4 410 1.2× 120 0.4× 123 0.5× 176 1.1× 53 0.7× 5 577
Rita Pellegrini Italy 12 266 0.8× 246 0.8× 184 0.7× 115 0.7× 77 1.0× 18 556
K Zinkewich-Péotti Canada 10 298 0.9× 157 0.5× 116 0.5× 42 0.3× 78 1.0× 15 502
LG Durrant United Kingdom 14 231 0.7× 161 0.5× 133 0.5× 217 1.4× 53 0.7× 26 497
Cheng‐Pang Hsu United States 9 396 1.2× 197 0.7× 99 0.4× 151 0.9× 59 0.8× 9 574
Margaret Beckwith United States 14 304 0.9× 296 1.0× 85 0.3× 391 2.5× 89 1.2× 27 801

Countries citing papers authored by Peter Maimonis

Since Specialization
Citations

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

Fields of papers citing papers by Peter Maimonis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Maimonis

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

All Works

19 of 19 papers shown
1.
Chan, Anissa, Xiaohong Qiu, Richard M. Walsh, et al.. (2016). Imprime PGG-Mediated Anti-Cancer Immune Activation Requires Immune Complex Formation. PLoS ONE. 11(11). e0165909–e0165909. 37 indexed citations
2.
Merdek, Keith D., et al.. (2011). Abstract 4898: Circulating tumor cell capture on a microfluidic chip incorporating both affinity and size. Cancer Research. 71(8_Supplement). 4898–4898. 10 indexed citations
3.
Maimonis, Peter, et al.. (2010). Affinity and size capture of circulating tumor cells: A platform for increased sensitivity. Clinical Cancer Research. 16(19_Supplement). B5–B5. 1 indexed citations
4.
Fields, Jeremy Z., Zhenqiang Gao, Marcia Lewis, et al.. (2004). Immunoassay for wild-type protein in lymphocytes predicts germline mutations in patients at risk for hereditary colorectal cancer. Journal of Laboratory and Clinical Medicine. 143(1). 59–66. 1 indexed citations
5.
Harris, Lyndsay N., Vlayka Liotcheva, Gloria Broadwater, et al.. (2001). Comparison of Methods of Measuring HER-2 in Metastatic Breast Cancer Patients Treated With High-Dose Chemotherapy. Journal of Clinical Oncology. 19(6). 1698–1706. 89 indexed citations
6.
Treon, Steven P., Peter Maimonis, Gloria Young, et al.. (2000). Elevated soluble MUC1 levels and decreased anti-MUC1 antibody levels in patients with multiple myeloma. Blood. 96(9). 3147–3153. 16 indexed citations
7.
Treon, Steven P., Peter Maimonis, Gloria Young, et al.. (2000). Elevated soluble MUC1 levels and decreased anti-MUC1 antibody levels in patients with multiple myeloma. Blood. 96(9). 3147–3153. 70 indexed citations
8.
Cheung, Tak Hong, et al.. (1999). Clinical Use of Serum c-erbB-2 in Patients with Ovarian Masses. Gynecologic and Obstetric Investigation. 48(2). 133–137. 12 indexed citations
9.
Taylor, John A., Erik T. Goluboff, Robert J. Krane, et al.. (1999). THE HUMAN CARCINOMA ANTIGEN. The Journal of Urology. 209–209. 4 indexed citations
10.
Fehm, Tanja, Peter Maimonis, Alexander Katalinic, & Wolfram Jäger. (1997). The Prognostic Significance of c-erbB-2 Serum Protein in Metastatic Breast Cancer. Oncology. 55(1). 33–38. 51 indexed citations
11.
Fehm, Tanja, et al.. (1997). Influence of circulating c-erbB-2 serum protein on response to adjuvant chemotherapy in node-positive breast cancer patients. Breast Cancer Research and Treatment. 43(1). 87–95. 60 indexed citations
12.
Ogata, Shunji, Peter Maimonis, & Steven H. Itzkowitz. (1992). Mucins bearing the cancer-associated sialosyl-Tn antigen mediate inhibition of natural killer cell cytotoxicity.. PubMed. 52(17). 4741–6. 101 indexed citations
13.
Maimonis, Peter, et al.. (1992). A new radioimmunoassay detecting early stages of colon cancer: a comparison with CEA, AFP, and Ca 19-9.. PubMed. 9(5). 265–71. 18 indexed citations
14.
Perey, Lucien, Daniel F. Hayes, Peter Maimonis, et al.. (1992). Tumor selective reactivity of a monoclonal antibody prepared against a recombinant peptide derived from the DF3 human breast carcinoma-associated antigen.. PubMed. 52(9). 2563–8. 89 indexed citations
15.
Maimonis, Peter, et al.. (1991). Lung cancer-associated protein: development and characterization of a new assay that detects a circulating lung cancer marker.. PubMed. 51(15). 3838–42. 3 indexed citations
16.
Maimonis, Peter, et al.. (1990). An analysis of immunocomplexes for the detection of the early stages of colon cancer. Cancer. 65(6). 1338–1344. 9 indexed citations
17.
Maimonis, Peter, Daniel F. Hayes, Carl O’Hara, & Donald Küfe. (1990). Detection and characterization of a high molecular weight human lung carcinoma-associated glycoprotein.. PubMed. 50(20). 6738–43. 6 indexed citations
18.
Suit, Herman D., Peter Maimonis, Howard B. Michaels, & Robert Sedlacek. (1981). Comparison of Hyperbaric Oxygen and Misonidazole in Fractionated Irradiation of Murine Tumors. Radiation Research. 87(2). 360–360. 21 indexed citations
19.
Suit, Herman D., Daniel E. Dosoretz, Peter Maimonis, & Robert Sedlacek. (1980). Anaesthesia and efficacy of hyperbaric oxygen in radiation therapy. British Journal of Radiology. 53(633). 920–920. 1 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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