Lee W. Thompson

743 total citations
19 papers, 609 citations indexed

About

Lee W. Thompson is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Lee W. Thompson has authored 19 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Immunology and 7 papers in Oncology. Recurrent topics in Lee W. Thompson's work include Immunotherapy and Immune Responses (10 papers), vaccines and immunoinformatics approaches (9 papers) and T-cell and B-cell Immunology (5 papers). Lee W. Thompson is often cited by papers focused on Immunotherapy and Immune Responses (10 papers), vaccines and immunoinformatics approaches (9 papers) and T-cell and B-cell Immunology (5 papers). Lee W. Thompson collaborates with scholars based in United States and Canada. Lee W. Thompson's co-authors include Craig L. Slingluff, Víctor H. Engelhard, Galina V. Yamshchikov, Donald F. Hunt, Richard A. Pierce, В. В. Калашников, Teresa A. Colella, David J. Kittlesen, Jonathan Skipper and Jeffrey Shabanowitz and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Lee W. Thompson

19 papers receiving 595 citations

Peers

Lee W. Thompson

IMMUN

ONCOL

RNMI

MICRO

Balint Otvos United States

Jeffrey Butler Canada

Xiaoyong Jiang China

Yu‐Chih Lo Taiwan

Maddalena Panigada Italy

Melanie Grove Germany

Shelley R. Starck United States

Eva Kiermaier Germany

Chad E. Green United States

Dorian Obino France

Balint Otvos United States

Lee W. Thompson

172 ×0.5

IMMUN

284 ×0.9

201 ×0.9

ONCOL

22 ×0.5

RNMI

48 ×1.4

MICRO

Citations per year, relative to Lee W. Thompson Lee W. Thompson (= 1×) peers Balint Otvos

Countries citing papers authored by Lee W. Thompson

Since Specialization

Citations

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

Fields of papers citing papers by Lee W. Thompson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee W. Thompson. 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 Lee W. Thompson. The network helps show where Lee W. Thompson may publish in the future.

Co-authorship network of co-authors of Lee W. Thompson

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

All Works

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19 of 19 papers shown

Khushman, Moh’d, Arun Bhardwaj, Girijesh Kumar Patel, et al.. (2018). The prognostic significance of exosomal markers (CD63 and CD9) expression using immunohistochemistry in patients with pancreatic ductal adenocarcinoma.. Journal of Clinical Oncology. 36(4_suppl). 342–342. 3 indexed citations

Tan, Marcus, et al.. (2016). Comparative Proteomic Analysis of Whole-Gut Lavage Fluid and Pancreatic Juice Reveals a Less Invasive Method of Sampling Pancreatic Secretions. Clinical and Translational Gastroenterology. 7(5). e174–e174. 4 indexed citations

McClellan, Steven, Jaroslav Slamecka, Lee W. Thompson, et al.. (2015). mRNA detection in living cells: A next generation cancer stem cell identification technique. Methods. 82. 47–54. 29 indexed citations

Kannangara, Timal S., et al.. (2014). Deletion of the NMDA Receptor GluN2A Subunit Significantly Decreases Dendritic Growth in Maturing Dentate Granule Neurons. PLoS ONE. 9(8). e103155–e103155. 34 indexed citations

Rostas, Jack W., William O. Richards, & Lee W. Thompson. (2012). Improved rate of pancreatic fistula after distal pancreatectomy: parenchymal division with the use of saline-coupled radiofrequency ablation. HPB. 14(8). 560–564. 8 indexed citations

Pollock, Jeffrey M., et al.. (2007). Solid‐pseudopapillary tumor: A report of three cases in adult males diagnosed utilizing three different modalities. Diagnostic Cytopathology. 35(4). 234–238. 5 indexed citations

Riker, Adam I., et al.. (2006). Current surgical management of melanoma. Expert Review of Anticancer Therapy. 6(11). 1569–1583. 9 indexed citations

Yamshchikov, Galina V., David W. Mullins, Chien‐Chung Chang, et al.. (2005). Sequential Immune Escape and Shifting of T Cell Responses in a Long-Term Survivor of Melanoma. The Journal of Immunology. 174(11). 6863–6871. 79 indexed citations

Thompson, Lee W., Kevin T. Hogan, Jennifer Caldwell, et al.. (2004). Preventing the Spontaneous Modification of an HLA-A2-Restricted Peptide at an N-Terminal Glutamine or an Internal Cysteine Residue Enhances Peptide Antigenicity. Journal of Immunotherapy. 27(3). 177–183. 9 indexed citations

10.

Thompson, Lee W., S. Hibbitts, Richard A. Pierce, et al.. (2004). Competition Among Peptides in Melanoma Vaccines for Binding to MHC Molecules. Journal of Immunotherapy. 27(6). 425–431. 13 indexed citations

11.

Hogan, Kevin T., Michael A. Coppola, Christine L. Gatlin, et al.. (2004). Identification of Novel and Widely Expressed Cancer/Testis Gene Isoforms That Elicit Spontaneous Cytotoxic T-Lymphocyte Reactivity to Melanoma. Cancer Research. 64(3). 1157–1163. 17 indexed citations

12.

Sawyer, Robert G., et al.. (2004). Infectious Complications after Hepatic Resection. The American Surgeon. 70(9). 787–792. 24 indexed citations

13.

Hogan, Kevin T., Michael A. Coppola, Christine L. Gatlin, et al.. (2003). Identification of a shared epitope recognized by melanoma-specific, HLA-A3-restricted cytotoxic T lymphocytes. Immunology Letters. 90(2-3). 131–135. 10 indexed citations

14.

Slingluff, Craig L., Teresa A. Colella, Lee W. Thompson, et al.. (2000). Melanomas with concordant loss of multiple melanocytic differentiation proteins: immune escape that may be overcome by targeting unique or undefined antigens. Cancer Immunology Immunotherapy. 48(12). 661–672. 78 indexed citations

15.

Thompson, Lee W., et al.. (2000). Melanoma vaccines. Current Opinion in Oncology. 12(2). 163–173. 29 indexed citations

16.

Thompson, Lee W., et al.. (2000). Vaccination for melanoma. Current Oncology Reports. 2(4). 292–299. 5 indexed citations

17.

Калашников, В. В., Lee W. Thompson, Galina V. Yamshchikov, et al.. (1999). Terminal modifications inhibit proteolytic degradation of an immunogenic mart-127-35 peptide: Implications for peptide vaccines. International Journal of Cancer. 83(3). 326–334. 146 indexed citations

18.

Kittlesen, David J., Lee W. Thompson, Pamela H. Gulden, et al.. (1998). Human Melanoma Patients Recognize an HLA-A1-Restricted CTL Epitope from Tyrosinase Containing Two Cysteine Residues: Implications for Tumor Vaccine Development. The Journal of Immunology. 160(5). 2099–2106. 104 indexed citations

19.

Hoff, Charles, et al.. (1992). A Cohort Study of Maternal HLA‐DR Homozygosity and Increased Risk for Fetal Loss. American Journal of Reproductive Immunology. 28(1). 17–18. 3 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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