Charles A. Staley

11.4k total citations
183 papers, 6.5k citations indexed

About

Charles A. Staley is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Charles A. Staley has authored 183 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Oncology, 89 papers in Surgery and 69 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Charles A. Staley's work include Pancreatic and Hepatic Oncology Research (52 papers), Gastric Cancer Management and Outcomes (31 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (28 papers). Charles A. Staley is often cited by papers focused on Pancreatic and Hepatic Oncology Research (52 papers), Gastric Cancer Management and Outcomes (31 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (28 papers). Charles A. Staley collaborates with scholars based in United States, Spain and Italy. Charles A. Staley's co-authors include David A. Kooby, Shishir K. Maithel, Juan M. Sarmiento, Volkan Adsay, Lily Yang, John Kauh, Douglas B. Evans, Jeffrey E. Lee, Claudia J. Fenoglio and Karen R. Cleary and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and ACS Nano.

In The Last Decade

Charles A. Staley

179 papers receiving 6.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles A. Staley United States 46 3.4k 2.6k 1.9k 1.3k 926 183 6.5k
Marc Pocard France 50 3.4k 1.0× 4.8k 1.8× 1.6k 0.8× 931 0.7× 962 1.0× 341 8.6k
Steven N. Hochwald United States 47 3.2k 0.9× 3.0k 1.2× 2.7k 1.4× 1.1k 0.8× 1.3k 1.5× 210 7.4k
Bryan M. Clary United States 53 4.5k 1.3× 3.5k 1.3× 2.4k 1.2× 1.2k 0.9× 1.3k 1.4× 165 8.4k
Michael Michael Australia 36 2.2k 0.6× 1.3k 0.5× 1.2k 0.6× 898 0.7× 805 0.9× 194 4.6k
David C. Linehan United States 59 9.2k 2.7× 3.3k 1.3× 2.5k 1.3× 1.4k 1.1× 1.8k 2.0× 174 13.6k
David A. Kooby United States 56 5.8k 1.7× 5.1k 2.0× 3.6k 1.9× 2.2k 1.6× 1.0k 1.1× 310 10.5k
James S. Tomlinson United States 41 3.8k 1.1× 1.7k 0.7× 1.2k 0.6× 993 0.7× 760 0.8× 81 5.3k
Zhengjia Chen United States 51 3.1k 0.9× 1.2k 0.5× 2.5k 1.3× 906 0.7× 2.4k 2.6× 267 8.3k
Prajnan Das United States 48 6.0k 1.8× 5.6k 2.2× 3.5k 1.8× 870 0.7× 542 0.6× 323 9.8k
Mitsukazu Gotoh Japan 39 2.1k 0.6× 3.4k 1.3× 2.2k 1.1× 430 0.3× 839 0.9× 223 6.0k

Countries citing papers authored by Charles A. Staley

Since Specialization
Citations

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

Fields of papers citing papers by Charles A. Staley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles A. Staley. 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 Charles A. Staley. The network helps show where Charles A. Staley may publish in the future.

Co-authorship network of co-authors of Charles A. Staley

This figure shows the co-authorship network connecting the top 25 collaborators of Charles A. Staley. A scholar is included among the top collaborators of Charles A. Staley 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 Charles A. Staley. Charles A. Staley 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
3.
Lovasik, Brendan P., Neha L. Lad, Shishir K. Maithel, et al.. (2022). Implications of leukocytosis following distal pancreatectomy splenectomy (DPS) and association with postoperative complications. Journal of Surgical Oncology. 126(6). 1012–1020.
4.
Lee, Rachel, Charles A. Staley, Joshua H. Winer, et al.. (2021). Fertility after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy: A call to action. Journal of Surgical Oncology. 123(4). 1045–1049. 4 indexed citations
5.
Morris, Andrew D., Yuan Liu, Christina Wu, et al.. (2020). Receipt of Adjuvant Chemotherapy in Stage II Colon Cancer and Overall Survival: A National Cancer Database Study. Journal of Surgical Research. 252. 69–79. 8 indexed citations
6.
Gamboa, Adriana C., Yuan Liu, Rachel Lee, et al.. (2019). A novel preoperative risk score to predict lymph node positivity for rectal neuroendocrine tumors: An NCDB analysis to guide operative technique. Journal of Surgical Oncology. 120(6). 932–939. 14 indexed citations
7.
Gamboa, Adriana C., Yuan Liu, Rachel Lee, et al.. (2019). Duodenal neuroendocrine tumors: Somewhere between the pancreas and small bowel?. Journal of Surgical Oncology. 120(8). 1293–1301. 15 indexed citations
8.
Zaidi, Mohammad Y., Adriana C. Gamboa, David A. Kooby, et al.. (2019). Race, ethnicity, and socioeconomic factors in cholangiocarcinoma: What is driving disparities in receipt of treatment?. HPB. 21. S20–S20. 1 indexed citations
9.
Postlewait, Lauren M., Cecilia G. Ethun, Gillian Baptiste, et al.. (2016). Enucleation versus anatomic resection for pancreatic neuroendocrine tumors: Preoperative factors that predict lymph node metastases to guide operative strategy. HPB. 18. e45–e45. 1 indexed citations
10.
Watkins, Ammara A., Timothy V. Johnson, Tarik D. Madni, et al.. (2014). Ice Packs Reduce Postoperative Midline Incision Pain and Narcotic Use: A Randomized Controlled Trial. Journal of the American College of Surgeons. 219(3). 511–517. 71 indexed citations
11.
Hawk, Natalyn, Sungjin Kim, Zhengjia Chen, et al.. (2014). Clinicopathologic Features and Outcome of Young Adults With Stage IV Colorectal Cancer. American Journal of Clinical Oncology. 38(6). 543–549. 21 indexed citations
12.
Squires, Malcolm H., Neha L. Lad, Sarah B. Fisher, et al.. (2014). Hypophosphataemia after major hepatectomy and the risk of post-operative hepatic insufficiency and mortality: an analysis of 719 patients. HPB. 16(10). 884–891. 20 indexed citations
15.
Fisher, Sarah B., Sameer H. Patel, David A. Kooby, et al.. (2012). Lymphovascular and perineural invasion as selection criteria for adjuvant therapy in intrahepatic cholangiocarcinoma: a multi-institution analysis. HPB. 14(8). 514–522. 58 indexed citations
16.
Maithel, Shishir K., Peter J. Kneuertz, David A. Kooby, et al.. (2011). Importance of Low Preoperative Platelet Count in Selecting Patients for Resection of Hepatocellular Carcinoma: A Multi-Institutional Analysis. Journal of the American College of Surgeons. 212(4). 638–648. 93 indexed citations
17.
Maithel, Shishir K., İpek Çoban, Peter J. Kneuertz, et al.. (2011). Differential Expression of ERCC1 in Pancreas Adenocarcinoma: High Tumor Expression is Associated with Earlier Recurrence and Shortened Survival after Resection. Annals of Surgical Oncology. 18(9). 2699–2705. 33 indexed citations
18.
Kneuertz, Peter J., Shishir K. Maithel, Charles A. Staley, & David A. Kooby. (2010). Chemotherapy-Associated Liver Injury: Impact on Surgical Management of Colorectal Cancer Liver Metastases. Annals of Surgical Oncology. 18(1). 181–190. 49 indexed citations
19.
Staley, Charles A., et al.. (1995). Molecular alterations in benign and premalignant colorectal tumors. 47(5). 366–369. 1 indexed citations
20.
Gallick, Gary E., et al.. (1994). Molecular alterations during colon tumorigenesis: An overview of growth regulatory pathways and potential therapeutic implications. 46(4). 296–302. 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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