William Leslie

417 total citations
17 papers, 314 citations indexed

About

William Leslie is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, William Leslie has authored 17 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 4 papers in Immunology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in William Leslie's work include Pancreatic and Hepatic Oncology Research (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Lung Cancer Treatments and Mutations (3 papers). William Leslie is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Lung Cancer Treatments and Mutations (3 papers). William Leslie collaborates with scholars based in United States and Canada. William Leslie's co-authors include David Frame, Suphat Subongkot, Edgar Ben‐Josef, Mark M. Zalupski, Ross A. Abrams, Gazala Khan, Theodore S. Lawrence, Isaac R. Francis, Diane M. Simeone and Scott Hadley and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and Journal of Atmospheric and Oceanic Technology.

In The Last Decade

William Leslie

17 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Leslie United States 7 208 98 54 47 43 17 314
József Lövey Hungary 12 168 0.8× 153 1.6× 49 0.9× 22 0.5× 10 0.2× 46 406
Raffaele Piscitelli Italy 8 87 0.4× 149 1.5× 74 1.4× 18 0.4× 26 0.6× 18 336
A. Milner Australia 11 141 0.7× 145 1.5× 24 0.4× 26 0.6× 11 0.3× 24 398
Fei Cao China 12 238 1.1× 151 1.5× 82 1.5× 14 0.3× 35 0.8× 24 451
Gilad Gitstein Israel 8 117 0.6× 187 1.9× 33 0.6× 14 0.3× 57 1.3× 14 345
V. Papadimitrakopoulou United States 13 313 1.5× 304 3.1× 110 2.0× 29 0.6× 22 0.5× 41 606
Anna Maria Elisabeth Walenkamp Netherlands 9 271 1.3× 68 0.7× 73 1.4× 45 1.0× 56 1.3× 17 467
Said Baidas United States 12 142 0.7× 125 1.3× 38 0.7× 23 0.5× 36 0.8× 22 442
Carol A. Sherman United States 13 317 1.5× 377 3.8× 56 1.0× 14 0.3× 64 1.5× 28 554
A. Michelotti Italy 11 210 1.0× 100 1.0× 108 2.0× 15 0.3× 37 0.9× 15 372

Countries citing papers authored by William Leslie

Since Specialization
Citations

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

Fields of papers citing papers by William Leslie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Leslie. 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 William Leslie. The network helps show where William Leslie may publish in the future.

Co-authorship network of co-authors of William Leslie

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

All Works

17 of 17 papers shown
1.
Leslie, William & Kristopher B. Karnauskas. (2014). The Equatorial Undercurrent and TAO Sampling Bias from a Decade at SEA. Journal of Atmospheric and Oceanic Technology. 31(9). 2015–2025. 4 indexed citations
2.
Conlon, Kevin C., William Leslie, Ihab Lamzabi, et al.. (2012). Effect of Pemetrexed on Innate Immune Killer Cells and Adaptive Immune T Cells in Subjects With Adenocarcinoma of the Pancreas. Journal of Immunotherapy. 35(8). 629–640. 58 indexed citations
3.
Vainshtein, Jeffrey M., Matthew J. Schipper, Mark M. Zalupski, et al.. (2012). Prognostic Significance of Carbohydrate Antigen 19-9 in Unresectable Locally Advanced Pancreatic Cancer Treated With Dose-Escalated Intensity Modulated Radiation Therapy and Concurrent Full-Dose Gemcitabine: Analysis of a Prospective Phase 1/2 Dose Escalation Study. International Journal of Radiation Oncology*Biology*Physics. 86(1). 96–101. 17 indexed citations
4.
Ben‐Josef, Edgar, Mathew J. Schipper, Isaac R. Francis, et al.. (2012). A Phase I/II Trial of Intensity Modulated Radiation (IMRT) Dose Escalation With Concurrent Fixed-dose Rate Gemcitabine (FDR-G) in Patients With Unresectable Pancreatic Cancer. International Journal of Radiation Oncology*Biology*Physics. 84(5). 1166–1171. 133 indexed citations
5.
Leslie, William, et al.. (2012). Treatment of recurrent pediatric gastrointestinal stromal tumors.. PubMed. 5(4). 139–40. 2 indexed citations
6.
Venugopal, Parameswaran, et al.. (2012). Long-term remission of paroxysmal nocturnal hemoglobinuria following chemoimmunotherapy for non-Hodgkin lymphoma.. PubMed. 10(2). 134–6. 1 indexed citations
7.
Chen, Kevin Y., William Leslie, Brett Mahon, & Parameswaran Venugopal. (2011). A patient with necrobiotic xanthogranuloma presenting with an anterior mediastinal mass, plasma cell dyscrasia, and a lymphoproliferative disorder.. PubMed. 9(9). 696–700. 2 indexed citations
8.
Shah, Neel, et al.. (2010). An Epstein-Barr virus-associated smooth muscle tumor successfully treated with surgical resection: a case report and literature review.. PubMed. 8(6). 423–6. 10 indexed citations
9.
Karmali, Reem, et al.. (2008). Localized bone disease as a presentation of hairy cell leukemia.. PubMed. 6(4). 290–4. 7 indexed citations
10.
Coon, John S., Victoria Villaflor, William Leslie, et al.. (2004). Potential molecular prognostic factors in non-small cell lung cancer (NSCLC) patients treated with gefitinib. Journal of Clinical Oncology. 22(14_suppl). 7089–7089. 3 indexed citations
11.
Coon, John S., et al.. (2004). Potential molecular prognostic factors in non-small cell lung cancer (NSCLC) patients treated with gefitinib. Journal of Clinical Oncology. 22(14_suppl). 7089–7089. 1 indexed citations
12.
Subongkot, Suphat, et al.. (2003). Selective Cyclooxygenase‐2 Inhibition: A Target in Cancer Prevention and Treatment. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 23(1). 9–28. 51 indexed citations
13.
Ou, Di, K.M. Anderson, William Leslie, Philip Bonomi, & Jennifer Harris. (1999). Does maximizing programmed cell death necessarily yield an optimum clinical advantage?. Medical Hypotheses. 52(3). 235–238. 2 indexed citations
14.
Preisler, Harvey D., Abbas Raza, Philip Bonomi, et al.. (1997). Essays: Regrowth Resistance as a Likely Significant Contributor to Treatment Failure in Drug-Sensitive Neoplastic Diseases. Cancer Investigation. 15(4). 358–368. 9 indexed citations
15.
Haines, G. Kenneth, et al.. (1992). Immunohistochemical Detection of Double-Stranded-RNA- Dependent Protein Kinase (p68) with a Novel Monoclonal Antibody TJ4C4. Tumor Biology. 13(5-6). 324–329. 2 indexed citations
16.
Carlisle, Euan & William Leslie. (1990). Primary hypoadrenalism in a patient with the lupus anticoagulant.. PubMed. 17(10). 1405–7. 6 indexed citations
17.
Leslie, William, et al.. (1984). Kaposi's sarcoma in the acquired immune deficiency syndrome. Medical and Pediatric Oncology. 12(5). 336–342. 6 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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