Edwin R. Manuel

1.7k total citations
39 papers, 1.3k citations indexed

About

Edwin R. Manuel is a scholar working on Immunology, Biotechnology and Oncology. According to data from OpenAlex, Edwin R. Manuel has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 14 papers in Biotechnology and 13 papers in Oncology. Recurrent topics in Edwin R. Manuel's work include Cancer Research and Treatments (14 papers), Immunotherapy and Immune Responses (10 papers) and Immune Cell Function and Interaction (9 papers). Edwin R. Manuel is often cited by papers focused on Cancer Research and Treatments (14 papers), Immunotherapy and Immune Responses (10 papers) and Immune Cell Function and Interaction (9 papers). Edwin R. Manuel collaborates with scholars based in United States, Germany and China. Edwin R. Manuel's co-authors include Nancy D. Ebelt, Monica Marzagalli, Don J. Diamond, Teodora Kaltcheva, Joshua D.I. Ellenhorn, Bruce R. Blazar, Leying Zhang, Behnam Badie, Dongchang Zhao and Wei Liu and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Edwin R. Manuel

38 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edwin R. Manuel United States 20 480 468 466 343 256 39 1.3k
Jingya Guo China 13 1.2k 2.4× 925 2.0× 481 1.0× 357 1.0× 72 0.3× 23 1.9k
Motomu Kuroki Japan 24 304 0.6× 379 0.8× 653 1.4× 419 1.2× 91 0.4× 53 1.6k
Fernando Pastor Spain 23 784 1.6× 565 1.2× 1.4k 2.9× 252 0.7× 73 0.3× 49 2.1k
Zhenguo Cheng China 19 181 0.4× 405 0.9× 458 1.0× 114 0.3× 138 0.5× 40 929
Laiman Xiang United States 22 808 1.7× 304 0.6× 743 1.6× 87 0.3× 562 2.2× 27 1.6k
Anca Reschner Belgium 17 484 1.0× 382 0.8× 313 0.7× 274 0.8× 49 0.2× 27 1.1k
Harry Leung Canada 12 477 1.0× 491 1.0× 528 1.1× 346 1.0× 51 0.2× 12 1.8k
Anoop Kavirayani Austria 13 277 0.6× 230 0.5× 426 0.9× 169 0.5× 40 0.2× 24 1.0k
Amy Wesa United States 21 1.3k 2.8× 711 1.5× 494 1.1× 92 0.3× 69 0.3× 35 1.9k
Dipongkor Saha United States 24 409 0.9× 804 1.7× 457 1.0× 128 0.4× 137 0.5× 47 1.7k

Countries citing papers authored by Edwin R. Manuel

Since Specialization
Citations

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

Fields of papers citing papers by Edwin R. Manuel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin R. Manuel. 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 Edwin R. Manuel. The network helps show where Edwin R. Manuel may publish in the future.

Co-authorship network of co-authors of Edwin R. Manuel

This figure shows the co-authorship network connecting the top 25 collaborators of Edwin R. Manuel. A scholar is included among the top collaborators of Edwin R. Manuel 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 Edwin R. Manuel. Edwin R. Manuel 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
1.
2.
Ebelt, Nancy D., et al.. (2022). Targeted Depletion of Hyaluronic Acid Mitigates Murine Breast Cancer Growth. Cancers. 14(19). 4614–4614. 5 indexed citations
3.
4.
Chiuppesi, Flavia, Marcela D Salazar, Heidi Contreras, et al.. (2020). Development of a multi-antigenic SARS-CoV-2 vaccine candidate using a synthetic poxvirus platform. Nature Communications. 11(1). 6121–6121. 66 indexed citations
5.
Ebelt, Nancy D., et al.. (2019). Hyaluronidase-Expressing Salmonella Effectively Targets Tumor-Associated Hyaluronic Acid in Pancreatic Ductal Adenocarcinoma. Molecular Cancer Therapeutics. 19(2). 706–716. 42 indexed citations
6.
Marzagalli, Monica, Nancy D. Ebelt, & Edwin R. Manuel. (2019). Unraveling the crosstalk between melanoma and immune cells in the tumor microenvironment. Seminars in Cancer Biology. 59. 236–250. 267 indexed citations
7.
Ebelt, Nancy D. & Edwin R. Manuel. (2017). Utilizing Salmonella to treat solid malignancies. Journal of Surgical Oncology. 116(1). 75–82. 6 indexed citations
8.
Ouyang, Mao, Hui Ren, Qin Guo, et al.. (2016). Metronomic Doses of Temozolomide Enhance the Efficacy of Carbon Nanotube CpG Immunotherapy in an Invasive Glioma Model. PLoS ONE. 11(2). e0148139–e0148139. 33 indexed citations
9.
Salazar, Marcela D, Edwin R. Manuel, Weimin Tsai, et al.. (2016). Evaluation of innate and adaptive immunity contributing to the antitumor effects of PD1 blockade in an orthotopic murine model of pancreatic cancer. OncoImmunology. 5(6). e1160184–e1160184. 13 indexed citations
10.
Manuel, Edwin R., Massimo D’Apuzzo, Teodora Kaltcheva, et al.. (2015). Salmonella -Based Therapy Targeting Indoleamine 2,3-Dioxygenase Coupled with Enzymatic Depletion of Tumor Hyaluronan Induces Complete Regression of Aggressive Pancreatic Tumors. Cancer Immunology Research. 3(9). 1096–1107. 53 indexed citations
11.
Xu, Xin, Wael A. H. Hegazy, Linjie Guo, et al.. (2014). Effective Cancer Vaccine Platform Based on Attenuated Salmonella and a Type III Secretion System. Cancer Research. 74(21). 6260–6270. 57 indexed citations
12.
Manuel, Edwin R. & Don J. Diamond. (2013). A road less traveled paved by IDO silencing. OncoImmunology. 2(3). e23322–e23322. 10 indexed citations
13.
Fan, Haitao, Ian Zhang, Xuebo Chen, et al.. (2012). Intracerebral CpG Immunotherapy with Carbon Nanotubes Abrogates Growth of Subcutaneous Melanomas in Mice. Clinical Cancer Research. 18(20). 5628–5638. 48 indexed citations
14.
Manuel, Edwin R., et al.. (2012). Systemic Delivery of Salmonella typhimurium Transformed with IDO shRNA Enhances Intratumoral Vector Colonization and Suppresses Tumor Growth. Cancer Research. 72(24). 6447–6456. 78 indexed citations
15.
Manuel, Edwin R., Teodora Kaltcheva, Hidenobu Ishizaki, et al.. (2011). Enhancement of Cancer Vaccine Therapy by Systemic Delivery of a Tumor-Targeting Salmonella- Based STAT3 shRNA Suppresses the Growth of Established Melanoma Tumors. Cancer Research. 71(12). 4183–4191. 70 indexed citations
16.
Zhao, Dongchang, Darya Alizadeh, Leying Zhang, et al.. (2010). Carbon Nanotubes Enhance CpG Uptake and Potentiate Antiglioma Immunity. Clinical Cancer Research. 17(4). 771–782. 133 indexed citations
17.
Ishizaki, Hidenobu, Tumul Srivastava, Kyla Driscoll Carroll, et al.. (2010). Heterologous Prime/Boost Immunization With p53-based Vaccines Combined With Toll-like Receptor Stimulation Enhances Tumor Regression. Journal of Immunotherapy. 33(6). 609–617. 25 indexed citations
18.
Ishizaki, Hidenobu, et al.. (2010). Modified vaccinia Ankara expressing survivin combined with gemcitabine generates specific antitumor effects in a murine pancreatic carcinoma model. Cancer Immunology Immunotherapy. 60(1). 99–109. 36 indexed citations
19.
Li, Jinliang, Tumul Srivastava, Ravindra K. Rawal, et al.. (2009). Mamu-A⁎01/Kb transgenic and MHC Class I knockout mice as a tool for HIV vaccine development. Virology. 387(1). 16–28. 2 indexed citations
20.
Duensing, Stefan, Anette Duensing, David C. Lee, et al.. (2004). Cyclin-dependent kinase inhibitor indirubin-3′-oxime selectively inhibits human papillomavirus type 16 E7-induced numerical centrosome anomalies. Oncogene. 23(50). 8206–8215. 53 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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