Eric C. Sorenson

1.1k total citations · 1 hit paper
15 papers, 824 citations indexed

About

Eric C. Sorenson is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Gastroenterology. According to data from OpenAlex, Eric C. Sorenson has authored 15 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Gastroenterology. Recurrent topics in Eric C. Sorenson's work include Gastrointestinal Tumor Research and Treatment (4 papers), Colorectal Cancer Screening and Detection (3 papers) and Colorectal Cancer Surgical Treatments (3 papers). Eric C. Sorenson is often cited by papers focused on Gastrointestinal Tumor Research and Treatment (4 papers), Colorectal Cancer Screening and Detection (3 papers) and Colorectal Cancer Surgical Treatments (3 papers). Eric C. Sorenson collaborates with scholars based in United States and Japan. Eric C. Sorenson's co-authors include Ronald P. DeMatteo, Shan Zeng, Michael J. Cavnar, Rachel Popow, Ferdinand Rossi, Cristina R. Antonescu, Peter Besmer, Lee M. Ocuin, Zubin M. Bamboat and Vinod P. Balachandran and has published in prestigious journals such as Nature Medicine, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Eric C. Sorenson

14 papers receiving 809 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Imatinib potentiates antitumor T cell responses in gastrointestinal stromal tumor through the inhibition of Ido

2011 410 citations Vinod P. Balachandran, Michael J. Cavnar et al. Nature Medicine profile →

Peers

Eric C. Sorenson

IMMUN

ONCOL

GASTR

PRM

MB

Rachel Popow United States

Michael J. Cavnar United States

Adrian M. Seifert Germany

Zhenbin Shen China

Yunpeng Liu China

Maria Chiara Anania Italy

Zhiwei Zhou China

Seongyeol Park South Korea

Wencai Li China

Ilka Vogel Germany

Rachel Popow United States

Eric C. Sorenson

293 ×0.9

IMMUN

261 ×0.9

ONCOL

145 ×0.8

GASTR

133 ×0.8

PRM

97 ×0.8

MB

Citations per year, relative to Eric C. Sorenson Eric C. Sorenson (= 1×) peers Rachel Popow

Countries citing papers authored by Eric C. Sorenson

Since Specialization

Citations

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

Fields of papers citing papers by Eric C. Sorenson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric C. Sorenson. 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 Eric C. Sorenson. The network helps show where Eric C. Sorenson may publish in the future.

Co-authorship network of co-authors of Eric C. Sorenson

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

Olsen, Griffin, Emmett D. Goodman, Eric C. Sorenson, et al.. (2025). Using artificial intelligence to model expert panel diagnosis of cholecystitis severity. Surgical Endoscopy. 39(10). 6560–6568.

2.

Sun, Min, Griffin Olsen, S. Mintz, et al.. (2024). Artificial Intelligence Identifies Factors Associated with Blood Loss and Surgical Experience in Cholecystectomy. NEJM AI. 1(2). 9 indexed citations

3.

Sorenson, Eric C., Jian Q. Yu, Tianyu Li, et al.. (2019). Impact of PET/CT for Restaging Patients With Locally Advanced Rectal Cancer After Neoadjuvant Chemoradiation. Journal of Surgical Research. 243. 242–248. 10 indexed citations

4.

Ward, William H., Elin R. Sigurdson, Andrew C. Esposito, et al.. (2018). Pathologic response following treatment for locally advanced rectal cancer: Does location matter?. Journal of Surgical Research. 224. 215–221. 6 indexed citations

5.

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

6.

Sorenson, Eric C., Jian Yu, Sanjay S. Reddy, et al.. (2017). Predictive value of PET/CT for pathological complete response and survival in patients with locally advanced rectal cancer.. Journal of Clinical Oncology. 35(4_suppl). 697–697. 2 indexed citations

7.

Cohen, Noah A., Shan Zeng, Adrian M. Seifert, et al.. (2015). Pharmacological Inhibition of KIT Activates MET Signaling in Gastrointestinal Stromal Tumors. Cancer Research. 75(10). 2061–2070. 46 indexed citations

8.

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

9.

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

10.

Cohen, Noah A., Shan Zeng, Teresa S. Kim, et al.. (2013). Angiogenesis inhibition augments the effect of imatinib in gastrointestinal stromal tumor. Journal of the American College of Surgeons. 217(3). S140–S140. 2 indexed citations

11.

Ocuin, Lee M., Shan Zeng, Michael J. Cavnar, et al.. (2012). Nilotinib protects the murine liver from ischemia/reperfusion injury. Journal of Hepatology. 57(4). 766–773. 47 indexed citations

12.

Balachandran, Vinod P., Michael J. Cavnar, Shan Zeng, et al.. (2011). Imatinib potentiates antitumor T cell responses in gastrointestinal stromal tumor through the inhibition of Ido. Nature Medicine. 17(9). 1094–1100. 410 indexed citations breakdown →

13.

Sorenson, Eric C., Lee M. Ocuin, Michael J. Cavnar, et al.. (2011). Hepatocellular carcinoma arises in an immunosuppressive tumor microenvironment. Journal of the American College of Surgeons. 213(3). S133–S133. 1 indexed citations

14.

Griesemer, Adam, Eric C. Sorenson, & Mark A. Hardy. (2010). The Role of the Thymus in Tolerance. Transplantation. 90(5). 465–474. 78 indexed citations

15.

Ramulu, M., et al.. (2001). Mixed model assembly alternatives for low-volume manufacturing: The case of the aerospace industry. International Journal of Production Economics. 72(2). 103–120. 45 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.

Explore authors with similar magnitude of impact