Doug Redelman

3.9k total citations
103 papers, 3.1k citations indexed

About

Doug Redelman is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Doug Redelman has authored 103 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Immunology, 21 papers in Molecular Biology and 16 papers in Oncology. Recurrent topics in Doug Redelman's work include Immune Cell Function and Interaction (30 papers), T-cell and B-cell Immunology (21 papers) and Immune Response and Inflammation (11 papers). Doug Redelman is often cited by papers focused on Immune Cell Function and Interaction (30 papers), T-cell and B-cell Immunology (21 papers) and Immune Response and Inflammation (11 papers). Doug Redelman collaborates with scholars based in United States, South Korea and France. Doug Redelman's co-authors include Dorothy Hudig, Tamás Ördög, Sally DuPré, William J. Murphy, Hui Chen, Viktor J. Horváth, Kenneth W. Hunter, Kenton M. Sanders, Andrea Lörincz and Stewart Sell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

Doug Redelman

103 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Doug Redelman United States 31 1.2k 805 545 484 335 103 3.1k
Ivan Cruz Moura France 35 2.2k 1.8× 1.4k 1.7× 408 0.7× 334 0.7× 311 0.9× 60 4.8k
Andrew C. Keates United States 29 1.1k 0.9× 736 0.9× 222 0.4× 466 1.0× 739 2.2× 37 2.7k
M. Tsuchiya Japan 28 783 0.6× 712 0.9× 173 0.3× 422 0.9× 636 1.9× 135 2.7k
Gurvinder Kaur India 31 1.0k 0.8× 916 1.1× 253 0.5× 208 0.4× 518 1.5× 146 3.4k
Chieko Kato Japan 19 1.2k 1.0× 642 0.8× 156 0.3× 186 0.4× 266 0.8× 48 2.4k
Burkhard Fleckenstein Norway 32 954 0.8× 913 1.1× 1.5k 2.8× 191 0.4× 462 1.4× 63 3.7k
Hiroshi Yano Japan 27 1.7k 1.4× 1.4k 1.8× 76 0.1× 1.2k 2.4× 252 0.8× 81 4.3k
Martı́n G. Martı́n United States 34 508 0.4× 1.2k 1.5× 229 0.4× 856 1.8× 1.3k 3.8× 97 3.9k
Massimo Sanchez Italy 40 1.8k 1.4× 2.1k 2.6× 106 0.2× 777 1.6× 383 1.1× 140 5.0k
Mary E. Morgan Netherlands 22 1.3k 1.0× 1.6k 1.9× 55 0.1× 329 0.7× 198 0.6× 49 4.0k

Countries citing papers authored by Doug Redelman

Since Specialization
Citations

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

Fields of papers citing papers by Doug Redelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doug Redelman

This figure shows the co-authorship network connecting the top 25 collaborators of Doug Redelman. A scholar is included among the top collaborators of Doug Redelman 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 Doug Redelman. Doug Redelman 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.
Smith‐Gagen, Julie, et al.. (2020). Antibody-dependent cell-mediated cytotoxicity (ADCC) in familial myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Fatigue Biomedicine Health & Behavior. 8(4). 226–244. 6 indexed citations
2.
Redelman, Doug, et al.. (2020). Natural Killer (NK) Cell Expression of CD2 as a Predictor of Serial Antibody-Dependent Cell-Mediated Cytotoxicity (ADCC). SHILAP Revista de lepidopterología. 9(4). 54–54. 7 indexed citations
3.
Ha, Se Eun, Moon Young Lee, Masaaki Kurahashi, et al.. (2017). Transcriptome analysis of PDGFRα+ cells identifies T-type Ca2+ channel CACNA1G as a new pathological marker for PDGFRα+ cell hyperplasia. PLoS ONE. 12(8). e0182265–e0182265. 30 indexed citations
4.
Barão, Isabel, et al.. (2013). Differential Expression of the Ly49GB6, but Not the Ly49GBALB, Receptor Isoform during Natural Killer Cell Reconstitution after Hematopoietic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 19(10). 1446–1452. 5 indexed citations
5.
Barão, Isabel, Maite Álvarez, Doug Redelman, et al.. (2011). Hydrodynamic Delivery of Human IL-15 cDNA Increases Murine Natural Killer Cell Recovery after Syngeneic Bone Marrow Transplantation. Biology of Blood and Marrow Transplantation. 17(12). 1754–1764. 11 indexed citations
6.
Li, Minghui, et al.. (2010). The Triterpenoid CDDO-Me Delays Murine Acute Graft-versus-Host Disease with the Preservation of Graft-versus-Tumor Effects after Allogeneic Bone Marrow Transplantation. Biology of Blood and Marrow Transplantation. 16(6). 739–750. 7 indexed citations
7.
Bardsley, Michael R., Viktor J. Horváth, David T. Asuzu, et al.. (2010). Kitlow Stem Cells Cause Resistance to Kit/Platelet-Derived Growth Factor α Inhibitors in Murine Gastrointestinal Stromal Tumors. Gastroenterology. 139(3). 942–952. 88 indexed citations
8.
Tamang, David, et al.. (2009). Lipid‐dependent cytotoxicity by the lipase PLRP2 and by PLRP2‐positive cytotoxic T lymphocytes (CTLs). Cell Biochemistry and Function. 27(5). 296–308. 6 indexed citations
9.
Lörincz, Andrea, Doug Redelman, Viktor J. Horváth, et al.. (2008). Progenitors of Interstitial Cells of Cajal in the Postnatal Murine Stomach. Gastroenterology. 134(4). 1083–1093. 129 indexed citations
10.
DuPré, Sally, Doug Redelman, & Kenneth W. Hunter. (2008). Microenvironment of the murine mammary carcinoma 4T1: Endogenous IFN-γ affects tumor phenotype, growth, and metastasis. Experimental and Molecular Pathology. 85(3). 174–188. 44 indexed citations
11.
Chen, Hui, Doug Redelman, Seungil Ro, et al.. (2006). Selective labeling and isolation of functional classes of interstitial cells of Cajal of human and murine small intestine. American Journal of Physiology-Cell Physiology. 292(1). C497–C507. 66 indexed citations
12.
13.
Redelman, Doug. (2004). CytometryML. Cytometry Part A. 62A(1). 70–73. 4 indexed citations
14.
Ördög, Tamás, et al.. (2004). Immunomagnetic enrichment of interstitial cells of Cajal. American Journal of Physiology-Gastrointestinal and Liver Physiology. 286(2). G351–G360. 19 indexed citations
15.
Ördög, Tamás, Doug Redelman, Viktor J. Horváth, et al.. (2004). Quantitative analysis by flow cytometry of interstitial cells of Cajal, pacemakers, and mediators of neurotransmission in the gastrointestinal tract. Cytometry Part A. 62A(2). 139–149. 24 indexed citations
16.
Redelman, Doug. (1997). The differential inflammatory cell count (DICC) as determined via the bryte HS flow cytometer from Bio-Rad.. 217–218. 3 indexed citations
17.
Coder, David M., Doug Redelman, & Robert F. Vogt. (1994). Computing the central location of immunofluorescence distributions: Logarithmic data transformations are not always appropriate. Cytometry. 18(2). 75–78. 11 indexed citations
18.
19.
Hudig, Dorothy, et al.. (1981). Active tumor cell resistance to human natural killer lymphocyte attack.. PubMed. 41(7). 2803–8. 22 indexed citations
20.
Hudig, Dorothy, et al.. (1981). Effects of unsaturated fatty acids and ethanol on human lymphocyte natural cytotoxicity (NK). Federation Proceedings. 40. 1 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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