J. Marc Pipas

3.2k total citations · 1 hit paper
58 papers, 2.4k citations indexed

About

J. Marc Pipas is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J. Marc Pipas has authored 58 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Oncology, 18 papers in Cancer Research and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J. Marc Pipas's work include Pancreatic and Hepatic Oncology Research (25 papers), Cancer Genomics and Diagnostics (11 papers) and Colorectal Cancer Treatments and Studies (11 papers). J. Marc Pipas is often cited by papers focused on Pancreatic and Hepatic Oncology Research (25 papers), Cancer Genomics and Diagnostics (11 papers) and Colorectal Cancer Treatments and Studies (11 papers). J. Marc Pipas collaborates with scholars based in United States, United Kingdom and Germany. J. Marc Pipas's co-authors include Electra D. Paskett, Susan Halabi, Gideon Steinbach, Charles L. Loprinzi, Roger Keresztes, Richard L. Schilsky, Robert S. Sandler, Nicholas J. Petrelli, Daniel D. Karp and Susan Budinger and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

J. Marc Pipas

52 papers receiving 2.4k citations

Hit Papers

A Randomized Trial of Aspirin to Prevent Colorectal Adeno... 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Marc Pipas United States 22 1.3k 796 705 556 482 58 2.4k
Roger Keresztes United States 19 1.1k 0.8× 456 0.6× 655 0.9× 337 0.6× 695 1.4× 37 2.7k
Wataru Ichikawa Japan 28 1.5k 1.2× 363 0.5× 699 1.0× 620 1.1× 263 0.5× 136 2.7k
Peter Canney United Kingdom 25 1.3k 1.0× 535 0.7× 359 0.5× 336 0.6× 92 0.2× 77 2.6k
E. McDermott Ireland 34 1.2k 0.9× 1.2k 1.5× 1.0k 1.4× 471 0.8× 76 0.2× 94 3.0k
Aristidis Polyzos Greece 24 1.3k 1.0× 366 0.5× 718 1.0× 275 0.5× 126 0.3× 67 2.4k
Koichi Miwa Japan 30 969 0.7× 491 0.6× 570 0.8× 1.8k 3.2× 153 0.3× 124 3.4k
David Nathanson United States 24 901 0.7× 411 0.5× 608 0.9× 369 0.7× 86 0.2× 76 2.1k
Marc Thill Germany 22 1.1k 0.8× 889 1.1× 253 0.4× 330 0.6× 96 0.2× 163 2.3k
Henry Q. Xiong United States 18 2.8k 2.2× 1.0k 1.3× 1.2k 1.7× 801 1.4× 125 0.3× 39 4.3k
Chin‐Chen Pan Taiwan 33 595 0.5× 422 0.5× 951 1.3× 848 1.5× 78 0.2× 100 2.8k

Countries citing papers authored by J. Marc Pipas

Since Specialization
Citations

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

Fields of papers citing papers by J. Marc Pipas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Marc Pipas. 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 J. Marc Pipas. The network helps show where J. Marc Pipas may publish in the future.

Co-authorship network of co-authors of J. Marc Pipas

This figure shows the co-authorship network connecting the top 25 collaborators of J. Marc Pipas. A scholar is included among the top collaborators of J. Marc Pipas 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 J. Marc Pipas. J. Marc Pipas 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.
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Pace, Emily A., Sharlene Adams, Michael D. Curley, et al.. (2018). Dual Inhibition of IGF-1R and ErbB3 Enhances the Activity of Gemcitabine and Nab-Paclitaxel in Preclinical Models of Pancreatic Cancer. Clinical Cancer Research. 24(12). 2873–2885. 44 indexed citations
5.
Picozzi, Vincent J., J. Marc Pipas, Albert C. Koong, et al.. (2016). FG-3019, A Human Monoclonal Antibody to Connective Tissue Growth Factor, Combined with Chemotherapy in Patients with Locally Advanced or Metastatic Pancreatic Ductal Adenocarcinoma. 2(1). 1–8. 8 indexed citations
6.
Hurwitz, Herbert I., Nikhil Uppal, Stephanie A. Wagner, et al.. (2015). Randomized, Double-Blind, Phase II Study of Ruxolitinib or Placebo in Combination With Capecitabine in Patients With Metastatic Pancreatic Cancer for Whom Therapy With Gemcitabine Has Failed. Journal of Clinical Oncology. 33(34). 4039–4047. 237 indexed citations
7.
Sargent, Daniel J., Qian Shi, Sharlene Gill, et al.. (2014). Molecular Testing for Lymph Node Metastases as a Determinant of Colon Cancer Recurrence: Results from a Retrospective Multicenter Study. Clinical Cancer Research. 20(16). 4361–4369. 8 indexed citations
8.
Hurwitz, H., Nikhil Uppal, J. C. Bendell, et al.. (2014). Results from a Phase 2 Study of Ruxolitinib or Placebo with Capecitabine as Second-Line Therapy in Patients with Metastatic Pancreatic Cancer: The Recap Trial. Annals of Oncology. 25. ii115–ii115. 2 indexed citations
9.
Zaki, Bassem I., Michael J. Tsapakos, Stuart R. Gordon, et al.. (2013). Successful retreatment with chemoradiotherapy for local recurrence of pancreatic adenocarcinoma after neoadjuvant therapy and pancreaticoduodenectomy.. Europe PMC (PubMed Central).
10.
Lefferts, Joel A., et al.. (2013). Merkel cell polyomavirus and extrapulmonary small cell carcinoma. Oncology Letters. 6(4). 1049–1052. 11 indexed citations
11.
Tayoun, Ahmad Abou, Kristine M. Abo, J. Marc Pipas, et al.. (2013). MicroRNAs as diagnostic markers for pancreatic ductal adenocarcinoma and its precursor, pancreatic intraepithelial neoplasm. Cancer Genetics. 206(6). 217–221. 61 indexed citations
12.
Pipas, J. Marc, Bassem I. Zaki, Michael J. Tsapakos, et al.. (2012). Neoadjuvant cetuximab, twice-weekly gemcitabine, and intensity-modulated radiotherapy (IMRT) in patients with pancreatic adenocarcinoma. Annals of Oncology. 23(11). 2820–2827. 36 indexed citations
13.
Eisenberg, Burton & J. Marc Pipas. (2012). Gastrointestinal Stromal Tumor—Background, Pathology, Treatment. Hematology/Oncology Clinics of North America. 26(6). 1239–1259. 21 indexed citations
14.
Preis, Meir, Timothy B. Gardner, Stuart R. Gordon, et al.. (2011). MicroRNA-10b Expression Correlates with Response to Neoadjuvant Therapy and Survival in Pancreatic Ductal Adenocarcinoma. Clinical Cancer Research. 17(17). 5812–5821. 125 indexed citations
16.
Hoffer, Eric K., et al.. (2009). Endovascular Recanalization of Symptomatic Portomesenteric Venous Obstruction after Pancreaticoduodenectomy and Radiation. Journal of Vascular and Interventional Radiology. 20(12). 1633–1637. 9 indexed citations
17.
Hug, Eugen B., Perry A. Ball, Laurence D. Cromwell, et al.. (2007). Atypical teratoid/rhabdoid tumor of the spine in an adult: case report and review of the literature. Journal of Neuro-Oncology. 84(1). 49–55. 45 indexed citations
18.
Pipas, J. Marc, et al.. (2000). Treatment of progressive metastatic glomus jugulare tumor (paraganglioma)with gemcitabine. Neuro-Oncology. 2(3). 190–191. 4 indexed citations
19.
Lukovits, Timothy G., Camilo E. Fadul, J. Marc Pipas, & Pétér D. Williamson. (1996). Nonconvulsive Status Epilepticus After Intravenous Contrast Medium Administration. Epilepsia. 37(11). 1117–1120. 4 indexed citations
20.
Ashley, David M., R D Tien, Herbert E. Fuchs, et al.. (1996). Treatment of patients with pineoblastoma with high dose cyclophosphamide. Medical and Pediatric Oncology. 26(6). 387–392. 15 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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