Catherine Sanders

5.8k total citations
35 papers, 1.4k citations indexed

About

Catherine Sanders is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Catherine Sanders has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 14 papers in Oncology and 10 papers in Hematology. Recurrent topics in Catherine Sanders's work include Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (9 papers) and T-cell and B-cell Immunology (8 papers). Catherine Sanders is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (9 papers) and T-cell and B-cell Immunology (8 papers). Catherine Sanders collaborates with scholars based in United States, Sweden and Georgia. Catherine Sanders's co-authors include Georgia Robins Sadler, Harlan Robins, Erik Yusko, Tracy M. Downs, Sidney L. Saltzstein, Ryan Emerson, Marissa Vignali, Robert E. Lewis, Julius M. Cruse and Jian Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Catherine Sanders

34 papers receiving 1.4k citations

Peers

Catherine Sanders

ONCOL

IMMUN

PRM

EPIDE

Takeshi Morii Japan

Mattia Bugatti Italy

Thierry Lazure France

Jonathan S. Leventhal United States

Takeharu Kato Japan

David Tai Singapore

Wilhelm Woessmann Germany

Knarik Arkun United States

Scott A. Gerber United States

Daniel Ré Germany

Takeshi Morii Japan

Catherine Sanders

391 ×0.6

ONCOL

756 ×1.2

IMMUN

518 ×1.8

PRM

142 ×0.6

127 ×0.8

EPIDE

Citations per year, relative to Catherine Sanders Catherine Sanders (= 1×) peers Takeshi Morii

Countries citing papers authored by Catherine Sanders

Since Specialization

Citations

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

Fields of papers citing papers by Catherine Sanders

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Sanders

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

All Works

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20 of 20 papers shown

Greenberger, Lee M., Larry A. Saltzman, Lore Gruenbaum, et al.. (2022). Anti-spike T-cell and Antibody Responses to SARS-CoV-2 mRNA Vaccines in Patients with Hematologic Malignancies. Blood Cancer Discovery. 3(6). 481–489. 9 indexed citations

Huff, Carol Ann, Anna Ferguson, Lakshmi Rudraraju, et al.. (2021). An Allogeneic Multiple Myeloma GM-CSF–Secreting Vaccine with Lenalidomide Induces Long-term Immunity and Durable Clinical Responses in Patients in Near Complete Remission. Clinical Cancer Research. 27(24). 6696–6708. 12 indexed citations

Leick, Mark B., Rachel M. Gittelman, Erik Yusko, et al.. (2020). T Cell Clonal Dynamics Determined by High-Resolution TCR-β Sequencing in Recipients after Allogeneic Hematopoietic Cell Transplantation. Biology of Blood and Marrow Transplantation. 26(9). 1567–1574. 15 indexed citations

Agdashian, David, Mei ElGindi, Changqing Xie, et al.. (2019). The effect of anti-CTLA4 treatment on peripheral and intra-tumoral T cells in patients with hepatocellular carcinoma. Cancer Immunology Immunotherapy. 68(4). 599–608. 103 indexed citations

Dovedi, Simon J., Eleanor J. Cheadle, Edmund Poon, et al.. (2017). Fractionated Radiation Therapy Stimulates Antitumor Immunity Mediated by Both Resident and Infiltrating Polyclonal T-cell Populations when Combined with PD-1 Blockade. Clinical Cancer Research. 23(18). 5514–5526. 263 indexed citations

Shrimali, Rajeev, Shamim Ahmad, Vivek Verma, et al.. (2017). Concurrent PD-1 Blockade Negates the Effects of OX40 Agonist Antibody in Combination Immunotherapy through Inducing T-cell Apoptosis. Cancer Immunology Research. 5(9). 755–766. 117 indexed citations

Sedighim, Shaina, Tina Wang, Joseph Antonios, et al.. (2016). TCR Sequencing Can Identify and Track Glioma-Infiltrating T Cells after DC Vaccination. Cancer Immunology Research. 4(5). 412–418. 53 indexed citations

Weber, Jeffrey S., Christine E. Horak, F. Stephen Hodi, et al.. (2016). Baseline tumor T cell receptor (TcR) sequencing analysis and neo antigen load is associated with benefit in melanoma patients receiving sequential nivolumab and ipilimumab. Annals of Oncology. 27. vi359–vi359. 9 indexed citations

Sanders, Catherine, et al.. (2012). Understanding the Limits of Large Datasets. Journal of Cancer Education. 27(4). 664–669. 30 indexed citations

10.

Wang, Chunlin, Catherine Sanders, Qunying Yang, et al.. (2010). High throughput sequencing reveals a complex pattern of dynamic interrelationships among human T cell subsets. Proceedings of the National Academy of Sciences. 107(4). 1518–1523. 210 indexed citations

11.

Sanders, Catherine, et al.. (2010). Co-detection of Pandemic (H1N1) 2009 Virus and Other Respiratory Pathogens. Emerging infectious diseases. 16(12). 1976–1978. 22 indexed citations

12.

Downs, Tracy M., et al.. (2008). Renal cell carcinoma: Risk assessment and prognostic factors for newly diagnosed patients. Critical Reviews in Oncology/Hematology. 70(1). 59–70. 30 indexed citations

13.

Saltzstein, Sidney L., et al.. (2008). Racial/Ethnic and Gender Disparities in Renal Cell Carcinoma Incidence and Survival. The Journal of Urology. 179(5). 1704–1708. 149 indexed citations

14.

Lewis, Robert E., et al.. (2007). Aberrant expression of T-cell markers in acute myeloid leukemia. Experimental and Molecular Pathology. 83(3). 462–463. 34 indexed citations

15.

Lewis, Robert E., et al.. (2007). Contrasting antigenic maturation patterns in M0–M2 versus M3 acute myeloid leukemias. Experimental and Molecular Pathology. 83(2). 269–273. 3 indexed citations

16.

Cruse, Julius M., et al.. (2007). Zap-70 and CD38 as predictors of IgVH mutation in CLL. Experimental and Molecular Pathology. 83(3). 459–461. 8 indexed citations

17.

Cruse, Julius M., et al.. (2007). Diminished CD10, CD13, and CD15 expression in a differentiated granulocyte population in CML. Experimental and Molecular Pathology. 83(2). 274–276. 2 indexed citations

18.

Sanders, Catherine, Julius M. Cruse, & Robert E. Lewis. (2007). Toll-like receptors, cytokines and HIV-1. Experimental and Molecular Pathology. 84(1). 31–36. 25 indexed citations

19.

Cruse, Julius M., et al.. (2006). Antigenic transformation in plasma cell dyscrasia. Experimental and Molecular Pathology. 81(2). 157–161. 1 indexed citations

20.

Sanders, Catherine, et al.. (1988). Cardiac Failure Presenting as Sleep Apnea. CHEST Journal. 94(6). 1298–1300. 25 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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