Jonathan B. Greer

1.1k total citations
43 papers, 377 citations indexed

About

Jonathan B. Greer is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jonathan B. Greer has authored 43 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 13 papers in Oncology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jonathan B. Greer's work include Intraperitoneal and Appendiceal Malignancies (18 papers), Ovarian cancer diagnosis and treatment (9 papers) and Pancreatic and Hepatic Oncology Research (9 papers). Jonathan B. Greer is often cited by papers focused on Intraperitoneal and Appendiceal Malignancies (18 papers), Ovarian cancer diagnosis and treatment (9 papers) and Pancreatic and Hepatic Oncology Research (9 papers). Jonathan B. Greer collaborates with scholars based in United States, Canada and Singapore. Jonathan B. Greer's co-authors include Ronald P. DeMatteo, Shan Zeng, Teresa S. Kim, Eric C. Sorenson, Michael J. Cavnar, Adrian M. Seifert, Megan H. Crawley, Benjamin L. Green, Rachel Popow and Noah A. Cohen and has published in prestigious journals such as The Journal of Experimental Medicine, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Jonathan B. Greer

31 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan B. Greer United States 9 127 93 92 91 91 43 377
A.R. Abdul Razak Canada 11 435 3.4× 105 1.1× 283 3.1× 64 0.7× 36 0.4× 26 760
Daniela Paccagnella Italy 8 150 1.2× 11 0.1× 81 0.9× 110 1.2× 21 0.2× 11 361
Lucas Vieira dos Santos Brazil 13 233 1.8× 14 0.2× 150 1.6× 143 1.6× 28 0.3× 33 471
Yung Jue Bang South Korea 10 124 1.0× 55 0.6× 86 0.9× 74 0.8× 20 0.2× 30 412
Hiroshi Ohyama Japan 12 165 1.3× 8 0.1× 128 1.4× 187 2.1× 21 0.2× 58 378
Eihab Abdelfatah United States 7 379 3.0× 138 1.5× 231 2.5× 127 1.4× 47 0.5× 17 561
Arya Mariam Roy United States 10 170 1.3× 32 0.3× 87 0.9× 33 0.4× 6 0.1× 74 355
Fatih Özdener Türkiye 9 119 0.9× 34 0.4× 59 0.6× 48 0.5× 9 0.1× 37 370
Meinrad Mannhart Switzerland 9 304 2.4× 39 0.4× 132 1.4× 76 0.8× 6 0.1× 19 413

Countries citing papers authored by Jonathan B. Greer

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan B. Greer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan B. Greer. 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 Jonathan B. Greer. The network helps show where Jonathan B. Greer may publish in the future.

Co-authorship network of co-authors of Jonathan B. Greer

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan B. Greer. A scholar is included among the top collaborators of Jonathan B. Greer 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 Jonathan B. Greer. Jonathan B. Greer 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.
Su, David, Beatrice J. Sun, Kiran K. Turaga, et al.. (2025). Consensus guideline for the management of gastric cancer with synchronous peritoneal metastases. Cancer. 131(13). e35870–e35870.
2.
3.
Johnson, Blake A., et al.. (2024). ASO Author Reflections: Economics of Experience—Institutional Learning Curve of CRS-HIPEC. Annals of Surgical Oncology. 31(13). 8602–8603.
4.
Johnston, Fabian M., et al.. (2024). Mortality risk prediction for primary appendiceal cancer. Surgery. 175(6). 1489–1495. 2 indexed citations
5.
6.
Greer, Jonathan B., et al.. (2024). Characterizing Patients with ypT0N1 Gastric Adenocarcinoma Within the AJCC Staging System. Annals of Surgical Oncology. 32(3). 2122–2128.
7.
Johnson, Blake A., et al.. (2024). Triphasic Learning Curve of Cytoreductive Surgery with Hyperthermic Intraperitoneal Chemotherapy. Annals of Surgical Oncology. 31(12). 7987–7997. 1 indexed citations
8.
Johnston, Fabian M., et al.. (2024). ASO Author Reflections: One Size Does Not Fit All—Enhanced Recovery After Surgery in CRS-HIPEC. Annals of Surgical Oncology. 31(8). 5400–5401.
9.
Greer, Jonathan B., et al.. (2024). ASO Author Reflections: To Test or Not to Test: How Do We Decide the Optimal Site for Organoid Generation in Patients with Metastatic Disease?. Annals of Surgical Oncology. 31(4). 2403–2404. 1 indexed citations
10.
Fong, Zhi Ven, Jonathan A. Teinor, Lilly Engineer, et al.. (2023). Caregiver‐reported quality of communication in pancreatic and periampullary cancer. Cancer. 130(11). 2051–2059. 5 indexed citations
11.
Fong, Zhi Ven, Jonathan A. Teinor, Theresa P. Yeo, et al.. (2023). Profile of the Postoperative Care Provided for Patients With Pancreatic and Periampullary Cancers by Family and Unpaid Caregivers. JCO Oncology Practice. 19(8). 551–559. 5 indexed citations
12.
Johnston, Fabian M., et al.. (2023). ASO Author Reflections: Financial Toxicity and CRS-HIPEC—Is a Pound of Debt Worth an Ounce of Cure?. Annals of Surgical Oncology. 31(4). 2401–2402. 1 indexed citations
13.
Shojaeian, Fatemeh, et al.. (2023). 3D versus 2D laparoscopic distal gastrectomy in patients with gastric cancer: a systematic review and meta-analysis. Surgical Endoscopy. 37(10). 7914–7922. 3 indexed citations
14.
Johnston, Fabian M., et al.. (2023). Predictors of Financial Toxicity Risk Among Patients Undergoing Cytoreductive Surgery with Hyperthermic Intraperitoneal Chemotherapy (CRS–HIPEC). Annals of Surgical Oncology. 31(3). 1980–1989. 4 indexed citations
15.
Fong, Zhi Ven, Jonathan A. Teinor, Theresa P. Yeo, et al.. (2022). Assessment of Caregivers’ Burden When Caring for Patients With Pancreatic and Periampullary Cancer. JNCI Journal of the National Cancer Institute. 114(11). 1468–1475. 16 indexed citations
16.
Santamaria‐Barria, Juan A., Shan Zeng, Jonathan B. Greer, et al.. (2019). Csf1r or Mer inhibition delays liver regeneration via suppression of Kupffer cells. PLoS ONE. 14(5). e0216275–e0216275. 12 indexed citations
17.
Sorenson, Eric C., Raya Khanin, Zubin M. Bamboat, et al.. (2017). Genome and transcriptome profiling of fibrolamellar hepatocellular carcinoma demonstrates p53 and IGF2BP1 dysregulation. PLoS ONE. 12(5). e0176562–e0176562. 23 indexed citations
18.
Greer, Jonathan B. & Cristina R. Ferrone. (2016). Spectrum and Classification of Cystic Neoplasms of the Pancreas. Surgical Oncology Clinics of North America. 25(2). 339–350. 12 indexed citations
19.
Kim, Teresa S., Michael J. Cavnar, Noah A. Cohen, et al.. (2014). Increased KIT Inhibition Enhances Therapeutic Efficacy in Gastrointestinal Stromal Tumor. Clinical Cancer Research. 20(9). 2350–2362. 44 indexed citations
20.
Cavnar, Michael J., Shan Zeng, Teresa S. Kim, et al.. (2013). KIT oncogene inhibition drives intratumoral macrophage M2 polarization. The Journal of Experimental Medicine. 210(13). 2873–2886. 101 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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