J. Marc Pipas
- Oncology top 2%
- Cancer Research top 2%
- Molecular Biology top 10%
- Surgery top 5%
- Pharmacology top 2%
- Co-authors
- Susan BudingerDaniel D. KarpCharles L. LoprinziNicholas J. PetrelliJohn A. BaronRobert S. SandlerElectra D. PaskettGideon Steinbach
- Topics
- Pancreatic and Hepatic Oncology Research (25 papers)Cancer Genomics and Diagnostics (11 papers)Colorectal Cancer Treatments and Studies (11 papers)
- Cited by
- Cancer ResearchOncologyPharmacology
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
J. Marc Pipas
52 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Oncology 1.3k
- Cancer Research 796
- Molecular Biology 705
- Surgery 556
- Pharmacology 482
Countries citing papers authored by J. Marc Pipas
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 44 | |
| 3 | 8 | |
| 4 | FG-3019, A Human Monoclonal Antibody to Connective Tissue Growth Factor, Combined with Chemotherapy in Patients with Locally Advanced or Metastatic Pancreatic Ductal Adenocarcinoma | 8 |
| 5 | 237 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | Successful retreatment with chemoradiotherapy for local recurrence of pancreatic adenocarcinoma after neoadjuvant therapy and pancreaticoduodenectomy. | 0 |
| 10 | 61 | |
| 11 | 11 | |
| 12 | 36 | |
| 13 | 125 | |
| 14 | 58 | |
| 15 | 6 | |
| 16 | 9 | |
| 17 | 45 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 15 |
About J. Marc Pipas
J. Marc Pipas is a scholar working on Oncology, Cancer Research and Hepatology, having authored 58 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (25 papers), Cancer Genomics and Diagnostics (11 papers) and Colorectal Cancer Treatments and Studies (11 papers). The work is most often cited by research in Cancer Research (796 citations), Oncology (1.3k citations) and Pharmacology (482 citations). J. Marc Pipas has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Susan Budinger, Daniel D. Karp, Charles L. Loprinzi, Nicholas J. Petrelli, John A. Baron, Robert S. Sandler, Electra D. Paskett, Gideon Steinbach, Richard L. Schilsky and Susan Halabi. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.
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.