Richard Hansen

1.7k total citations
21 papers, 1.5k citations indexed

About

Richard Hansen is a scholar working on Plant Science, Oncology and Immunology. According to data from OpenAlex, Richard Hansen has authored 21 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Richard Hansen's work include Polysaccharides and Plant Cell Walls (9 papers), Fungal Biology and Applications (4 papers) and Vector-borne infectious diseases (3 papers). Richard Hansen is often cited by papers focused on Polysaccharides and Plant Cell Walls (9 papers), Fungal Biology and Applications (4 papers) and Vector-borne infectious diseases (3 papers). Richard Hansen collaborates with scholars based in United States, Australia and United Kingdom. Richard Hansen's co-authors include Jun Yan, Daniel J. Allendorf, Jarosław Baran, Gordon D. Ross, Gary R. Ostroff, Chuanlin Ding, Daniel Cramer, Nai‐Kong V. Cheung, Hong Feng and Pei Xiang Xing and has published in prestigious journals such as Blood, The Journal of Immunology and Cancer Research.

In The Last Decade

Richard Hansen

21 papers receiving 1.4k citations

Peers

Richard Hansen
Andrew S. J. Marshall United Kingdom
Kee‐Jong Hong South Korea
Simon Y. C. Wong United Kingdom
Kyung‐Yeol Lee South Korea
Randi M. Simmons United States
Christopher N. Reyes United States
Andrew S. J. Marshall United Kingdom
Richard Hansen
Citations per year, relative to Richard Hansen Richard Hansen (= 1×) peers Andrew S. J. Marshall

Countries citing papers authored by Richard Hansen

Since Specialization
Citations

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

Fields of papers citing papers by Richard Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Hansen

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Hansen. A scholar is included among the top collaborators of Richard Hansen 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 Richard Hansen. Richard Hansen 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.
Yan, Jun, Goetz Kloecker, Chris Fleming, et al.. (2014). Human polymorphonuclear neutrophils specifically recognize and kill cancerous cells. OncoImmunology. 3(7). e950163–e950163. 74 indexed citations
2.
Li, Bing, Yihua Cai, Chunjian Qi, et al.. (2010). Orally Administered Particulate β-Glucan Modulates Tumor-Capturing Dendritic Cells and Improves Antitumor T-Cell Responses in Cancer. Clinical Cancer Research. 16(21). 5153–5164. 103 indexed citations
3.
Hansen, Richard, et al.. (2009). Therapeutic potential of various β-glucan sources in conjunction with anti-tumor monoclonal antibody in cancer therapy. Cancer Biology & Therapy. 8(3). 218–225. 59 indexed citations
4.
Liu, Jingjing, Lacey Gunn, Richard Hansen, & Jun Yan. (2009). Combined yeast-derived β-glucan with anti-tumor monoclonal antibody for cancer immunotherapy. Experimental and Molecular Pathology. 86(3). 208–214. 67 indexed citations
5.
Yan, Jun, et al.. (2008). The Role of Membrane Complement Regulatory Proteins in Cancer Immunotherapy. Advances in experimental medicine and biology. 632. 152–167. 47 indexed citations
6.
Li, Bing, Daniel Cramer, Stephanie A. Wagner, et al.. (2007). Yeast glucan particles activate murine resident macrophages to secrete proinflammatory cytokines via MyD88- and Syk kinase-dependent pathways. Clinical Immunology. 124(2). 170–181. 58 indexed citations
7.
Li, Bing, Daniel J. Allendorf, Richard Hansen, et al.. (2007). Combined Yeast β-Glucan and Antitumor Monoclonal Antibody Therapy Requires C5a-Mediated Neutrophil Chemotaxis via Regulation of Decay-Accelerating Factor CD55. Cancer Research. 67(15). 7421–7430. 40 indexed citations
8.
Yan, Jun, Bing Li, Daniel J. Allendorf, et al.. (2006). Yeast beta-glucan amplifies phagocyte killing of iC3b-opsonized tumor cells via CR3-Syk-PI3-kinase pathway.. Cancer Research. 66. 1309–1309. 2 indexed citations
9.
Li, Bing, Daniel J. Allendorf, Richard Hansen, et al.. (2006). Yeast β-Glucan Amplifies Phagocyte Killing of iC3b-Opsonized Tumor Cells via Complement Receptor 3-Syk-Phosphatidylinositol 3-Kinase Pathway. The Journal of Immunology. 177(3). 1661–1669. 149 indexed citations
10.
Allendorf, Daniel J., Jun Yan, Gordon D. Ross, et al.. (2005). C5a-Mediated Leukotriene B4-Amplified Neutrophil Chemotaxis Is Essential in Tumor Immunotherapy Facilitated by Anti-Tumor Monoclonal Antibody and β-Glucan. The Journal of Immunology. 174(11). 7050–7056. 60 indexed citations
11.
Cramer, Daniel, Daniel J. Allendorf, Jarosław Baran, et al.. (2005). β-Glucan enhances complement-mediated hematopoietic recovery after bone marrow injury. Blood. 107(2). 835–840. 45 indexed citations
12.
Feng, Hong, Jun Yan, Jarosław Baran, et al.. (2004). Mechanism by Which Orally Administered β-1,3-Glucans Enhance the Tumoricidal Activity of Antitumor Monoclonal Antibodies in Murine Tumor Models. The Journal of Immunology. 173(2). 797–806. 407 indexed citations
13.
Hong, Feng, Richard Hansen, Jun Yan, et al.. (2003). Beta-glucan functions as an adjuvant for monoclonal antibody immunotherapy by recruiting tumoricidal granulocytes as killer cells.. PubMed. 63(24). 9023–31. 149 indexed citations
14.
Sainz, Ángel, Chang‐Hyun Kim, Miguel A. Tesouro, et al.. (2000). Serological Evidence of Exposure toEhrlichiaSpecies in Dogs in Spain. Annals of the New York Academy of Sciences. 916(1). 635–642. 3 indexed citations
15.
Mateu, Enric, Robert J. Husmann, Richard Hansen, et al.. (1998). Quantitative detection of porcine interferon-gamma in response to mitogen, superantigen and recall viral antigen. Veterinary Immunology and Immunopathology. 61(2-4). 265–277. 43 indexed citations
16.
Khan, Muhammad Awais, I. Kakoma, Richard Hansen, et al.. (1998). Detection of Staphylococcus aureus in milk by use of polymerase chain reaction analysis. American Journal of Veterinary Research. 59(7). 807–813. 27 indexed citations
17.
Kakoma, I., Richard Hansen, Burt Anderson, et al.. (1994). Cultural, molecular, and immunological characterization of the etiologic agent for atypical canine ehrlichiosis. Journal of Clinical Microbiology. 32(1). 170–175. 36 indexed citations
18.
Hoffmann, Walter, et al.. (1993). Quantification of Bone Alkaline Phosphatase in Canine Serum. Veterinary Clinical Pathology. 22(1). 17–23. 35 indexed citations
19.
Hall, W. F., et al.. (1992). Serum haptoglobin concentration in swine naturally or experimentally infected with Actinobacillus pleuropneumoniae. Journal of the American Veterinary Medical Association. 201(11). 1730–1733. 56 indexed citations
20.
Nyindo, Mramba, I. Kakoma, & Richard Hansen. (1991). Antigenic analysis of four species of the genus Ehrlichia by use of protein immunoblot. American Journal of Veterinary Research. 52(8). 1225–1230. 33 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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