Mitchell E. Reff

1.9k total citations
41 papers, 1.2k citations indexed

About

Mitchell E. Reff is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Mitchell E. Reff has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 20 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Immunology. Recurrent topics in Mitchell E. Reff's work include Monoclonal and Polyclonal Antibodies Research (20 papers), Glycosylation and Glycoproteins Research (13 papers) and T-cell and B-cell Immunology (7 papers). Mitchell E. Reff is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (20 papers), Glycosylation and Glycoproteins Research (13 papers) and T-cell and B-cell Immunology (7 papers). Mitchell E. Reff collaborates with scholars based in United States, Japan and Belgium. Mitchell E. Reff's co-authors include Darrell R. Anderson, Michael J. LaBarre, Liying Jiang, Julian Davies, Kandasamy Hariharan, David S. Pfarr, Gary R. Braslawsky, Roland Newman, Nabil Hanna and Raymond W. Sweet and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Mitchell E. Reff

40 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitchell E. Reff United States 21 781 555 387 159 140 41 1.2k
Nicholas F. Landolfi United States 18 792 1.0× 742 1.3× 712 1.8× 234 1.5× 113 0.8× 30 1.6k
Alton C. Morgan United States 14 392 0.5× 546 1.0× 313 0.8× 201 1.3× 94 0.7× 23 1.1k
Nancy A. Cochran United States 10 852 1.1× 265 0.5× 543 1.4× 110 0.7× 227 1.6× 11 1.5k
Helmut M. Sassenfeld United States 12 507 0.6× 269 0.5× 740 1.9× 231 1.5× 133 0.9× 16 1.3k
Detlef Güssow Germany 11 1.4k 1.7× 1.3k 2.3× 640 1.7× 206 1.3× 103 0.7× 15 2.1k
Sallie O. Hoch United States 27 1.1k 1.4× 692 1.2× 660 1.7× 101 0.6× 171 1.2× 60 2.1k
Irene Leung United States 13 625 0.8× 621 1.1× 444 1.1× 252 1.6× 66 0.5× 30 1.2k
R. L. Ceriani United States 12 566 0.7× 457 0.8× 355 0.9× 222 1.4× 70 0.5× 26 992
Stephanie Brändlein Germany 24 667 0.9× 457 0.8× 751 1.9× 338 2.1× 79 0.6× 46 1.5k
P. Noguchi United States 17 666 0.9× 467 0.8× 793 2.0× 442 2.8× 85 0.6× 27 1.6k

Countries citing papers authored by Mitchell E. Reff

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell E. Reff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell E. Reff. 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 Mitchell E. Reff. The network helps show where Mitchell E. Reff may publish in the future.

Co-authorship network of co-authors of Mitchell E. Reff

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell E. Reff. A scholar is included among the top collaborators of Mitchell E. Reff 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 Mitchell E. Reff. Mitchell E. Reff 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.
Dong, Jianying, Stephen J. Demarest, Arlene Sereno, et al.. (2010). Combination of Two Insulin-Like Growth Factor-I Receptor Inhibitory Antibodies Targeting Distinct Epitopes Leads to an Enhanced Antitumor Response. Molecular Cancer Therapeutics. 9(9). 2593–2604. 48 indexed citations
2.
Figueroa, Bruno, Eric Ailor, Douglas G. Osborne, et al.. (2006). Enhanced cell culture performance using inducible anti‐apoptotic genes E1B‐19K and Aven in the production of a monoclonal antibody with Chinese hamster ovary cells. Biotechnology and Bioengineering. 97(4). 877–892. 79 indexed citations
3.
Poole, Jill A., Jianfeng Meng, Mitchell E. Reff, Mary Spellman, & Lanny J. Rosenwasser. (2005). Anti-CD23 monoclonal antibody, lumiliximab, inhibited allergen-induced responses in antigen-presenting cells and T cells from atopic subjects. Journal of Allergy and Clinical Immunology. 116(4). 780–788. 61 indexed citations
4.
Reff, Mitchell E., Kandasamy Hariharan, & Gary R. Braslawsky. (2002). Future of Monoclonal Antibodies in the Treatment of Hematologic Malignancies. Cancer Control. 9(2). 152–166. 57 indexed citations
5.
6.
Reff, Mitchell E., Gary R. Braslawsky, & Nabil Hanna. (2001). Future Approaches for Treating Hematologic Disease. Current Pharmaceutical Biotechnology. 2(4). 369–382. 1 indexed citations
7.
Newman, Roland, Kandasamy Hariharan, Mitchell E. Reff, et al.. (2001). Modification of the Fc Region of a Primatized IgG Antibody to Human CD4 Retains Its Ability to Modulate CD4 Receptors but Does Not Deplete CD4+ T Cells in Chimpanzees. Clinical Immunology. 98(2). 164–174. 45 indexed citations
8.
Reff, Mitchell E.. (2001). Efficacy of the anti-angiogenic approach to solid tumors. Drug Discovery Today. 6(14). 716–717. 1 indexed citations
9.
Reddy, Manjula, Margery A. Chaikin, Jacqueline Fishman‐Lobell, et al.. (2000). Elimination of Fc Receptor-Dependent Effector Functions of a Modified IgG4 Monoclonal Antibody to Human CD4. The Journal of Immunology. 164(4). 1925–1933. 97 indexed citations
10.
Yron, Ilana, et al.. (1999). Integrin-dependent Tyrosine Phosphorylation and Growth Regulation by Vav. Cell adhesion and communications/Cell adhesion and communication/Cell adhesion & communication. 7(1). 1–11. 29 indexed citations
11.
12.
Anderson, Darrell R., Nabil Hanna, John E. Leonard, et al.. (1997). A PrimatizedMAb to Human CD4 Causes Receptor Modulation, without Marked Reduction in CD4+T Cells in Chimpanzees:In Vitroandin VivoCharacterization of a MAb (IDEC-CE9.1) to Human CD4. Clinical Immunology and Immunopathology. 84(1). 73–84. 25 indexed citations
13.
Okafo, George, William A. Neville, Alem Truneh, et al.. (1996). Simple Differentiation between Core-Fucosylated and Nonfucosylated Glycans by Capillary Electrophoresis. Analytical Biochemistry. 240(1). 68–74. 23 indexed citations
14.
15.
Sweet, Raymond W., James P. Noveral, David S. Pfarr, et al.. (1988). DHFR Coamplification of t-PA in DHFR + Bovine Endothelial Cells: In Vitro Characterization of the Purified Serine Protease. DNA. 7(9). 651–661. 27 indexed citations
16.
Soprano, Kenneth J., et al.. (1988). Deletions in the SV40 late polyadenylation region downstream of the AATAAA mediate similar effects on expression in various mammalian cell lines. Nucleic Acids Research. 16(18). 8977–8997. 10 indexed citations
17.
18.
Pfarr, David S., et al.. (1986). Differential Effects of Polyadenylation Regions on Gene Expression in Mammalian Cells. DNA. 5(2). 115–122. 64 indexed citations
19.
Pfarr, David S., Ganesh M. Sathe, & Mitchell E. Reff. (1985). A Highly Modular Cloning Vector for the Analysis of Eukaryotic Genes and Gene Regulatory Elements. DNA. 4(6). 461–467. 29 indexed citations
20.
Reff, Mitchell E. & Richard L. Davidson. (1979). In vitro DNA dependent synthesis of globin RNA sequences from erythroleukemic cell chromatin. Nucleic Acids Research. 6(1). 275–287. 5 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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