Robert P. Numerof

2.1k total citations · 1 hit paper
33 papers, 1.7k citations indexed

About

Robert P. Numerof is a scholar working on Immunology, Genetics and Hematology. According to data from OpenAlex, Robert P. Numerof has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 14 papers in Genetics and 13 papers in Hematology. Recurrent topics in Robert P. Numerof's work include Chronic Lymphocytic Leukemia Research (10 papers), Platelet Disorders and Treatments (9 papers) and Mast cells and histamine (7 papers). Robert P. Numerof is often cited by papers focused on Chronic Lymphocytic Leukemia Research (10 papers), Platelet Disorders and Treatments (9 papers) and Mast cells and histamine (7 papers). Robert P. Numerof collaborates with scholars based in United States, United Kingdom and Canada. Robert P. Numerof's co-authors include Jean‐Pierre Kinet, Marie‐Hélène Jouvin, Martin Adamczewski, Alain Vallé, Odile Letourneur, Albana Cumashi, Norman M. Schechter, Lawrence F. Brass, Marílyn J. Woolkalís and Mark Dreyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Robert P. Numerof

30 papers receiving 1.7k citations

Hit Papers

Interactions of Mast Cell Tryptase with Thrombin Receptor... 1997 2026 2006 2016 1997 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
Robert P. Numerof United States 18 881 459 453 350 277 33 1.7k
Wenbin Xiao United States 24 635 0.7× 587 1.3× 483 1.1× 329 0.9× 92 0.3× 85 1.9k
Muriel Gaudry France 25 741 0.8× 909 2.0× 270 0.6× 163 0.5× 65 0.2× 36 1.9k
Akihiko Gotoh Japan 24 444 0.5× 644 1.4× 568 1.3× 306 0.9× 73 0.3× 121 1.8k
Olivier Harari United Kingdom 20 839 1.0× 428 0.9× 243 0.5× 135 0.4× 137 0.5× 37 1.9k
Christopher Ocampo United States 17 349 0.4× 929 2.0× 862 1.9× 288 0.8× 106 0.4× 33 2.2k
Christoph Renné Germany 20 738 0.8× 508 1.1× 314 0.7× 472 1.3× 52 0.2× 29 2.1k
Kaı̈ss Lassoued France 25 644 0.7× 575 1.3× 237 0.5× 242 0.7× 146 0.5× 64 1.9k
Mary J. Heeb United States 30 600 0.7× 475 1.0× 1.5k 3.3× 653 1.9× 113 0.4× 62 2.6k
T Matsuda Japan 7 1.2k 1.3× 668 1.5× 303 0.7× 124 0.4× 213 0.8× 9 2.4k
Renren Wen United States 31 1.7k 1.9× 873 1.9× 358 0.8× 158 0.5× 90 0.3× 75 2.8k

Countries citing papers authored by Robert P. Numerof

Since Specialization
Citations

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

Fields of papers citing papers by Robert P. Numerof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert P. Numerof. 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 Robert P. Numerof. The network helps show where Robert P. Numerof may publish in the future.

Co-authorship network of co-authors of Robert P. Numerof

This figure shows the co-authorship network connecting the top 25 collaborators of Robert P. Numerof. A scholar is included among the top collaborators of Robert P. Numerof 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 Robert P. Numerof. Robert P. Numerof 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.
Goel, Ruchika, et al.. (2024). Real-world experience with fostamatinib in patients with immune thrombocytopenia: Results of an observational study (FORTE).. Journal of Clinical Oncology. 42(16_suppl). e23289–e23289.
2.
Kuter, David J., et al.. (2023). Fostamatinib for warm antibody autoimmune hemolytic anemia: Phase 3, randomized, double‐blind, placebo‐controlled, global study (FORWARD). American Journal of Hematology. 99(1). 79–87. 18 indexed citations
4.
5.
Altomare, Ivy, Vadim Markovtsov, Leslie Todd, et al.. (2019). Potential Anti-Thrombotic Effect without Accompanying Hemorrhage with Fostamatinib Use in Patients with Immune Thrombocytopenia. Blood. 134(Supplement_1). 4889–4889. 4 indexed citations
6.
Rogers, Kerry A., Michael Boxer, Michael Y. Choi, et al.. (2019). Fostamatinib, a Spleen Tyrosine Kinase (SYK) Inhibitor, for the Treatment of Warm Antibody Autoimmune Hemolytic Anemia (wAIHA): Final Results of the Phase 2, Multicenter, Open-Label Study. Blood. 134(Supplement_1). 3518–3518. 3 indexed citations
7.
Négrier, Claude, et al.. (2016). Global Post-Authorization Safety Surveillance Study. Blood Coagulation & Fibrinolysis. 27(5). 551–556. 10 indexed citations
8.
Lucas, Julie L., et al.. (2009). Induction of Foxp3+ regulatory T cells with histone deacetylase inhibitors. Cellular Immunology. 257(1-2). 97–104. 76 indexed citations
9.
Numerof, Robert P. & Khusru Asadullah. (2006). Cytokine and Anti-Cytokine Therapies for Psoriasis and Atopic Dermatitis. BioDrugs. 20(2). 93–103. 65 indexed citations
10.
Numerof, Robert P., Charles A. Dinarello, & K. Asadullah. (2005). Cytokines as Potential Therapeutic Targets for Inflammatory Skin Diseases. PubMed. 16(2). 101–3. 19 indexed citations
11.
Elrod, Kyle, et al.. (1999). Expression and Characterization of Recombinant Mast Cell Tryptase. Protein Expression and Purification. 15(3). 251–257. 10 indexed citations
12.
Numerof, Robert P., Paul J. Simpson, & Richard D. Tanaka. (1997). Tryptase inhibitors: a novel class of anti-inflammatory drugs. Expert Opinion on Investigational Drugs. 6(7). 811–817. 2 indexed citations
13.
Zhang, Cheng, Andrew M. Scharenberg, Rossella Paolini, et al.. (1996). Syk-dependent Phosphorylation of Shc. Journal of Biological Chemistry. 271(27). 16268–16272. 108 indexed citations
14.
Paolini, Rossella, et al.. (1996). IgE receptor (Fc epsilon RI) and signal transduction.. PubMed. 22. 116s–118s. 10 indexed citations
15.
Jouvin, Marie‐Hélène, Robert P. Numerof, & Jean‐Pierre Kinet. (1995). Signal transduction through the conserved motifs of the high affinity IgE receptor FcεRI. Seminars in Immunology. 7(1). 29–35. 46 indexed citations
16.
Jouvin, Marie‐Hélène, Martin Adamczewski, Robert P. Numerof, et al.. (1994). Differential control of the tyrosine kinases Lyn and Syk by the two signaling chains of the high affinity immunoglobulin E receptor.. Journal of Biological Chemistry. 269(8). 5918–5925. 311 indexed citations
17.
Paolini, Rossella, Robert P. Numerof, & Jean-Pierre Kinet. (1994). Kinase Activation through the High-Affinity Receptor for Immunoglobulin E. PubMed. 4(1). 35–40. 10 indexed citations
18.
Numerof, Robert P., Jean D. Sipe, Elizabeth Trehu, Charles A. Dinarello, & James W. Mier. (1992). Suppression of IL-2-induced SAA gene expression in mice by the administration of an IL-1 receptor antagonist. Cytokine. 4(6). 555–560. 7 indexed citations
19.
Numerof, Robert P., et al.. (1990). Pro-interleukin-1β production by a subpopulation of human T cells, but not NK cells, in response to interleukin-2. Cellular Immunology. 130(1). 118–128. 21 indexed citations
20.
Mier, James W., Frederick R. Aronson, Robert P. Numerof, Gloria Vachino, & Michael B. Atkins. (1988). Toxicity of Immunotherapy with Interleukin-2 and Lymphokine-Activated Killer Cells. Pathology and Immunopathology Research. 7(6). 459–476. 41 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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