Daniel J. Allendorf

2.1k total citations · 1 hit paper
17 papers, 1.8k citations indexed

About

Daniel J. Allendorf is a scholar working on Plant Science, Oncology and Immunology. According to data from OpenAlex, Daniel J. Allendorf has authored 17 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Oncology and 6 papers in Immunology. Recurrent topics in Daniel J. Allendorf's work include Polysaccharides and Plant Cell Walls (8 papers), Chemokine receptors and signaling (3 papers) and Complement system in diseases (3 papers). Daniel J. Allendorf is often cited by papers focused on Polysaccharides and Plant Cell Walls (8 papers), Chemokine receptors and signaling (3 papers) and Complement system in diseases (3 papers). Daniel J. Allendorf collaborates with scholars based in United States, United Kingdom and Poland. Daniel J. Allendorf's co-authors include Jun Yan, Jarosław Baran, Richard Hansen, Gordon D. Ross, Mariusz Z. Ratajczak, Janina Ratajczak, Ryan Reca, Magda Kucia, Marcin Wysoczynski and Gary R. Ostroff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Daniel J. Allendorf

17 papers receiving 1.8k citations

Hit Papers

CXCR4–SDF-1 Signalling, Locomotion, Chemotaxis and Adhesion 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Allendorf United States 12 692 494 430 405 208 17 1.8k
Wing Keung Chan United States 17 718 1.0× 421 0.9× 486 1.1× 369 0.9× 357 1.7× 31 1.8k
Kristian Sass Bak‐Jensen Denmark 13 1.4k 2.0× 421 0.9× 303 0.7× 259 0.6× 115 0.6× 19 2.2k
Masatoshi Shimizu Japan 24 597 0.9× 752 1.5× 238 0.6× 79 0.2× 118 0.6× 71 2.2k
Chuanlin Ding United States 25 2.1k 3.1× 829 1.7× 562 1.3× 260 0.6× 134 0.6× 54 3.2k
Siyoung Yang South Korea 26 581 0.8× 1.0k 2.1× 297 0.7× 66 0.2× 329 1.6× 70 2.7k
Masaki Suemura Japan 30 1.8k 2.7× 777 1.6× 526 1.2× 85 0.2× 122 0.6× 59 3.5k
Rei Takahashi Japan 21 248 0.4× 1.3k 2.6× 517 1.2× 272 0.7× 46 0.2× 72 2.4k
Mitsugu Fujita Japan 29 1.3k 1.9× 1.2k 2.3× 1000 2.3× 180 0.4× 75 0.4× 114 3.2k
Jeehee Youn South Korea 32 1.2k 1.7× 780 1.6× 329 0.8× 45 0.1× 107 0.5× 86 2.5k
Chunjian Qi China 20 1.3k 1.9× 704 1.4× 345 0.8× 151 0.4× 76 0.4× 68 2.2k

Countries citing papers authored by Daniel J. Allendorf

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Allendorf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Allendorf. 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 Daniel J. Allendorf. The network helps show where Daniel J. Allendorf may publish in the future.

Co-authorship network of co-authors of Daniel J. Allendorf

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Allendorf. A scholar is included among the top collaborators of Daniel J. Allendorf 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 Daniel J. Allendorf. Daniel J. Allendorf 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.
Allendorf, Daniel J., et al.. (2021). CNS Involvement in a Patient with Chronic Myeloid Leukemia. SHILAP Revista de lepidopterología. 2021. 1–5. 3 indexed citations
2.
Allendorf, Daniel J., Rodolfo Bordoni, Stefan C. Grant, et al.. (2015). Phase I/IIa study of sequential chemotherapy regimen of bendamustine/irinotecan followed by etoposide/carboplatin in untreated patients with extensive disease small cell lung cancer (EDSCLC). Cancer Chemotherapy and Pharmacology. 76(5). 949–955. 1 indexed citations
3.
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
4.
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
5.
Baran, Jarosław, Daniel J. Allendorf, Hong Feng, & Gordon D. Ross. (2007). Oral beta-glucan adjuvant therapy converts nonprotective Th2 response to protective Th1 cell-mediated immune response in mammary tumor-bearing mice.. SHILAP Revista de lepidopterología. 45(2). 107–14. 44 indexed citations
6.
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
7.
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
8.
Yan, Jun, Daniel J. Allendorf, & Brian K. Brandley. (2005). Yeast whole glucan particle (WGP) β-glucan in conjunction with antitumour monoclonal antibodies to treat cancer. Expert Opinion on Biological Therapy. 5(5). 691–702. 71 indexed citations
9.
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
10.
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
11.
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
12.
Ratajczak, Mariusz Z., Ryan Reca, Marcin Wysoczynski, et al.. (2004). Transplantation studies in C3-deficient animals reveal a novel role of the third complement component (C3) in engraftment of bone marrow cells. Leukemia. 18(9). 1482–1490. 84 indexed citations
13.
Kucia, Magda, Kacper Jankowski, Ryan Reca, et al.. (2004). CXCR4–SDF-1 Signalling, Locomotion, Chemotaxis and Adhesion. Journal of Molecular Histology. 35(3). 233–245. 565 indexed citations breakdown →
14.
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
16.
Allendorf, Daniel J., et al.. (2003). BTR2003: Unified Science & Technology for Reducing Biological Threats and Countering Terrorism March 19-21, 2003 Oral WGP Beta Glucan Treatment Accelerates Myeloid Recovery after Radiation Exposure. 4 indexed citations
17.
Anyane‐Yeboa, Kwame, et al.. (1983). Cleft lip and palate, corneal opacities and profound psychomotor retardation. A newly recognized genetic syndrome?. PubMed. 20(3). 246–50. 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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