Stephen R. Grant

4.7k citations
46 papers · 3.3k indexed · 1 hit paper · h-index 18

Stephen R. Grant

43 papers receiving 3.2k citations

Hit Papers

A Calcineurin-Dependent Transcriptional Pathway for Cardi...2.1k199820262007201650010001.5k2.0k

Peers

Stephen R. Grant
Comparison fields: 5 of 138
  • Cardiology and Cardiovascular Medicine 1.1k
  • Molecular Biology 2.1k
  • Otorhinolaryngology 95
  • Oncology 533
  • Sensory Systems 67
Replace Jeffrey A. Jones with:
Jeffrey A. Jones United States
Eric Larsen United States
Juan Lin United States
David A. Tice United States
Koji Tsuboi Japan
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Susan M. White Australia
Stephen R. Grant relative to Jeffrey A. Jones United States Jeffrey A. Jones's profile →
Citations per field
00.5×7.4×
Jeffrey A. Jones · 1×
Citations per year

Countries citing papers authored by Stephen R. Grant

Since Specialization
Citations

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

Fields of papers citing papers by Stephen R. Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Stephen R. Grant, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen R. Grant Line = papers co-authored together Stephen R. Grant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20236
3 20200
4 202012
5 20207
6 202015
7 202011
8 201958
9 20188
10 201754
11 201715
12 201521
13 201532
14 201431
15 20134
16 200013
17
A Calcineurin-Dependent Transcriptional Pathway for Cardiac Hypertrophybreakdown →
19982111
18
G1 cell cycle arrest and apoptosis are induced in NIH 3T3 cells by KN-93, an inhibitor of CaMK-II (the multifunctional Ca2+/CaM kinase).
1995106
19 19923
20 19884

About Stephen R. Grant

Stephen R. Grant is a scholar working on Otorhinolaryngology, Radiation and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 3.3k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (7 papers), Glycosylation and Glycoproteins Research (6 papers), Economic and Financial Impacts of Cancer (6 papers), Ubiquitin and proteasome pathways (4 papers), Renal cell carcinoma treatment (3 papers), Advanced Radiotherapy Techniques (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Molecular Biology (2.1k citations) and Otorhinolaryngology (95 citations). Stephen R. Grant has collaborated with scholars based in United States, Egypt and Finland. Frequent co-authors include Eric N. Olson, James A. Richardson, Jeffery D. Molkentin, Jeffrey Robbins, Bruce E. Markham, Jianrong Lu, Christopher L. Antos, Gary V. Walker, Pamela K. Allen and Matthew Koshy. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, Cancer, Biochemical Journal and Advances in Radiation Oncology.

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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