Steven R. Whittaker

5.7k citations
28 papers · 3.2k indexed · 2 hit papers · h-index 20
Topics
Melanoma and MAPK Pathways (16 papers)Cancer Mechanisms and Therapy (10 papers)Protein Kinase Regulation and GTPase Signaling (7 papers)

In The Last Decade

Steven R. Whittaker

28 papers receiving 3.2k citations

Hit Papers

Kinase-Dead BRAF and Oncogenic RAS Cooperate to Drive Tum...2010202620152020201020102505007501000

Peers

Steven R. Whittaker
Comparison fields: 5 of 104
  • Molecular Biology 2.3k
  • Oncology 1.4k
  • Pathology and Forensic Medicine 515
  • Cancer Research 419
  • Computational Theory and Mathematics 416
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Steven R. Whittaker relative to John G. Moffat United States John G. Moffat's profile →
Citations per field
00.5×1.5×2.1×
John G. Moffat · 1×
Citations per year

Countries citing papers authored by Steven R. Whittaker

Since Specialization
Citations

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

Fields of papers citing papers by Steven R. Whittaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven R. Whittaker. 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 Steven R. Whittaker. The network helps show where Steven R. Whittaker may publish in the future.

Co-authorship network of co-authors of Steven R. Whittaker

This figure shows the co-authorship network connecting the top 25 collaborators of Steven R. Whittaker. A scholar is included among the top collaborators of Steven R. Whittaker 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 Steven R. Whittaker. Steven R. Whittaker 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
#WorkIndexed citations
1 5
2 19
3 13
4 9
5 24
6 284
7 55
8 260
9 36
10 26
11 15
12
The role of signaling pathways in the development and treatment of hepatocellular carcinomabreakdown →
699
13 28
14
Kinase-Dead BRAF and Oncogenic RAS Cooperate to Drive Tumor Progression through CRAFbreakdown →
1107
15 18
16 31
17 118
18 54
19 11
20
Low Vision Rehabilitation: A Practical Guide for Occupational Therapists
37

About Steven R. Whittaker

Steven R. Whittaker is a scholar working on Pathology and Forensic Medicine, Oncology and Molecular Biology, having authored 28 papers that have together received 3.2k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (16 papers), Cancer Mechanisms and Therapy (10 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). The work is most often cited by research in Oncology (1.4k citations), Molecular Biology (2.3k citations) and Pathology and Forensic Medicine (515 citations). Steven R. Whittaker has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Richard Marais, Andrew X. Zhu, Caroline J. Springer, Paul Workman, Arnaud Nourry, Jorge S. Reis‐Filho, Jahan Hussain, Carla Milagre, Catrin Pritchard and Nathalie Dhomen. Their work appears in journals such as Cell, Cancer Research and Oncogene.

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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