Rapp Ur

942 total citations
11 papers, 844 citations indexed

About

Rapp Ur is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Rapp Ur has authored 11 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Immunology. Recurrent topics in Rapp Ur's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Immunotherapy and Immune Responses (2 papers). Rapp Ur is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Immunotherapy and Immune Responses (2 papers). Rapp Ur collaborates with scholars based in United States. Rapp Ur's co-authors include Cleveland Jl, Jakob Troppmair, Takaaki Sato, S Krajewski, Sakae Tanaka, Toshiyuki Miyashita, Toshihiko Torigoe, Shinichi Takayama, Michael Dean and Timothy A. Beck and has published in prestigious journals such as Oncogene and PubMed.

In The Last Decade

Rapp Ur

11 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rapp Ur United States 10 701 179 116 98 78 11 844
Gerard M. Housey United States 12 841 1.2× 209 1.2× 144 1.2× 75 0.8× 94 1.2× 15 1.0k
Gema Alonso Germany 7 702 1.0× 196 1.1× 139 1.2× 131 1.3× 81 1.0× 11 898
Cleveland Jl United States 8 564 0.8× 116 0.6× 128 1.1× 70 0.7× 57 0.7× 9 666
Joanne Goodnight United States 15 1.2k 1.7× 171 1.0× 239 2.1× 172 1.8× 88 1.1× 28 1.5k
Mercedita Del Rosario United States 3 841 1.2× 177 1.0× 195 1.7× 96 1.0× 56 0.7× 3 1.0k
M. Gunnell United States 10 574 0.8× 136 0.8× 77 0.7× 60 0.6× 60 0.8× 12 711
Art Raitano United States 4 678 1.0× 192 1.1× 100 0.9× 101 1.0× 96 1.2× 4 1.0k
Xuhong Sunny Wang United States 9 785 1.1× 206 1.2× 174 1.5× 179 1.8× 147 1.9× 10 991
Steven M. Riddle United States 14 858 1.2× 254 1.4× 145 1.3× 97 1.0× 63 0.8× 19 1.1k
Michael DeMarco United States 4 610 0.9× 194 1.1× 80 0.7× 114 1.2× 78 1.0× 5 827

Countries citing papers authored by Rapp Ur

Since Specialization
Citations

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

Fields of papers citing papers by Rapp Ur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rapp Ur

This figure shows the co-authorship network connecting the top 25 collaborators of Rapp Ur. A scholar is included among the top collaborators of Rapp Ur 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 Rapp Ur. Rapp Ur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Ur, Rapp, et al.. (1994). Transformation by Raf and other oncogenes renders cells differentially sensitive to growth inhibition by a dominant negative c-jun mutant.. PubMed. 9(12). 3493–8. 47 indexed citations
2.
Miyashita, Toshiyuki, Shinichi Takayama, Takaaki Sato, et al.. (1994). Apoptosis regulation by interaction of Bcl-2 protein and Raf-1 kinase.. PubMed. 9(9). 2751–6. 206 indexed citations
3.
Troppmair, Jakob, et al.. (1993). Susceptibility and resistance to J3V1 retrovirus-induced murine plasmacytomagenesis in reconstituted severe combined immunodeficient mice.. PubMed. 8(7). 1993–2000. 13 indexed citations
4.
Ur, Rapp, et al.. (1991). The Raf-1 serine-threonine kinase is a substrate for the p56lck protein tyrosine kinase in human T-cells.. PubMed. 2(12). 609–17. 34 indexed citations
5.
Ur, Rapp. (1991). Role of Raf-1 serine/threonine protein kinase in growth factor signal transduction.. Oncogene. 6(4). 495–500. 217 indexed citations
6.
Kölch, Walter, Eva M. Weissinger, Harald Mischak, et al.. (1990). Probing structure and function of the raf protein kinase domain with monoclonal antibodies.. PubMed. 5(5). 713–20. 35 indexed citations
7.
Jl, Cleveland, et al.. (1990). Expression of raf family proto-oncogenes in normal mouse tissues.. Oncogene. 5(3). 345–51. 168 indexed citations
8.
Mischak, Harald, Walter Kölch, Franz Hofer, et al.. (1990). A raf/myc virus immortalized macrophage cell line which supports the growth of B-cell and B-cell hybridomas.. PubMed. 5(9). 1377–82. 4 indexed citations
9.
Copeland, T D, et al.. (1988). Identification and characterization of c-raf phosphoproteins in transformed murine cells.. PubMed. 2(2). 187–93. 27 indexed citations
10.
Dean, Michael, et al.. (1987). Role of myc in the abrogation of IL3 dependence of myeloid FDC-P1 cells.. PubMed. 1(3). 279–96. 69 indexed citations
11.
Ur, Rapp, et al.. (1986). Transformation by raf and myc oncogenes.. PubMed. 17. 55–74. 24 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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