Robert C. Quackenbush

2.0k total citations · 1 hit paper
7 papers, 913 citations indexed

About

Robert C. Quackenbush is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Robert C. Quackenbush has authored 7 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Hematology and 2 papers in Molecular Biology. Recurrent topics in Robert C. Quackenbush's work include Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Robert C. Quackenbush is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Robert C. Quackenbush collaborates with scholars based in United States and Italy. Robert C. Quackenbush's co-authors include Ann Marie Pendergast, Juli P. Miller, Warren S. Pear, Jon C. Aster, Roderick T. Bronson, Martin Scott, David Baltimore, Lanwei Xu, Kevin D. Courtney and Gary W. Reuther and has published in prestigious journals such as Genes & Development, Blood and Cancer.

In The Last Decade

Robert C. Quackenbush

7 papers receiving 899 citations

Hit Papers

Efficient and Rapid Induction of a Chronic Myelogenous Le... 1998 2026 2007 2016 1998 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert C. Quackenbush United States 7 501 333 311 207 174 7 913
Traudl Henn Austria 14 492 1.0× 426 1.3× 303 1.0× 181 0.9× 151 0.9× 21 1.0k
BA Zehnbauer United States 11 830 1.7× 277 0.8× 402 1.3× 164 0.8× 216 1.2× 14 1.1k
Anna Jankowska United States 15 494 1.0× 390 1.2× 324 1.0× 188 0.9× 185 1.1× 27 939
Stephane Wong United States 11 495 1.0× 349 1.0× 339 1.1× 62 0.3× 139 0.8× 15 802
J Bungey United Kingdom 11 849 1.7× 145 0.4× 369 1.2× 207 1.0× 165 0.9× 14 987
Odile Maarek France 13 645 1.3× 352 1.1× 411 1.3× 120 0.6× 267 1.5× 24 1.0k
S. M. Luger United States 8 492 1.0× 407 1.2× 141 0.5× 274 1.3× 372 2.1× 14 949
Wolfgang Warsch Austria 14 637 1.3× 381 1.1× 427 1.4× 401 1.9× 415 2.4× 16 1.2k
Daniel W. Sherbenou United States 16 587 1.2× 349 1.0× 381 1.2× 127 0.6× 289 1.7× 40 911
Niove E. Jordanides United Kingdom 9 864 1.7× 291 0.9× 636 2.0× 124 0.6× 221 1.3× 13 1.2k

Countries citing papers authored by Robert C. Quackenbush

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Quackenbush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert C. Quackenbush

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

All Works

7 of 7 papers shown
1.
Verstovšek, Srđan, Hui Lin, Hagop M. Kantarjian, et al.. (2002). Neutrophilic‐chronic myeloid leukemia. Cancer. 94(9). 2416–2425. 45 indexed citations
2.
Quackenbush, Robert C., Gary W. Reuther, Juli P. Miller, et al.. (2000). Analysis of the biologic properties of p230 Bcr-Abl reveals unique and overlapping properties with the oncogenic p185 and p210 Bcr-Abl tyrosine kinases. Blood. 95(9). 2913–2921. 47 indexed citations
3.
Dai, Zonghan, Robert C. Quackenbush, Kevin D. Courtney, et al.. (1998). Oncogenic Abl and Src tyrosine kinases elicit the ubiquitin-dependent degradation of target proteins through a Ras-independent pathway. Genes & Development. 12(10). 1415–1424. 98 indexed citations
4.
Pear, Warren S., Juli P. Miller, Lanwei Xu, et al.. (1998). Efficient and Rapid Induction of a Chronic Myelogenous Leukemia-Like Myeloproliferative Disease in Mice Receiving P210 bcr/abl-Transduced Bone Marrow. Blood. 92(10). 3780–3792. 627 indexed citations breakdown →
5.
Pear, Warren S., Juli P. Miller, Lanwei Xu, et al.. (1998). Efficient and Rapid Induction of a Chronic Myelogenous Leukemia-Like Myeloproliferative Disease in Mice Receiving P210 bcr/abl-Transduced Bone Marrow. Blood. 92(10). 3780–3792. 50 indexed citations
6.
Quackenbush, Robert C. & Anthony F. Shields. (1988). Local Re‐Utilization of Thymidine In Normal Mouse Tissues As Measured With Iododeoxyuridine. Cell Proliferation. 21(6). 381–387. 19 indexed citations
7.
Shields, Anthony F., Dean V. Coonrod, Robert C. Quackenbush, & John J. Crowley. (1987). Cellular sources of thymidine nucleotides: studies for PET.. PubMed. 28(9). 1435–40. 27 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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