Niraj Shenoy

2.7k citations
46 papers · 1.4k indexed · h-index 22
Topics
Renal cell carcinoma treatment (8 papers)Parallel Computing and Optimization Techniques (8 papers)Cancer, Hypoxia, and Metabolism (6 papers)

In The Last Decade

Niraj Shenoy

44 papers receiving 1.4k citations

Peers

Niraj Shenoy
Comparison fields: 5 of 112
  • Molecular Biology 552
  • Cancer Research 305
  • Pulmonary and Respiratory Medicine 264
  • Oncology 226
  • Hardware and Architecture 192
Replace Yi Zhao with:
Yi Zhao China
Yifang Chen China
Alessandro Di Federico Italy
King Lee United States
Wei‐Fan Chiang Taiwan
Kankan Wang China
Masaharu Sakamoto Japan
Hyun Jin Choi South Korea
Jason S. Koh United States
Matthew J. Sale United Kingdom
Niraj Shenoy relative to Yi Zhao China Yi Zhao's profile →
Citations per field
00.5×4.4×
Yi Zhao · 1×
Citations per year

Countries citing papers authored by Niraj Shenoy

Since Specialization
Citations

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

Fields of papers citing papers by Niraj Shenoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niraj Shenoy

This figure shows the co-authorship network connecting the top 25 collaborators of Niraj Shenoy. A scholar is included among the top collaborators of Niraj Shenoy 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 Niraj Shenoy. Niraj Shenoy 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 0
2 1
3 17
4 10
5 52
6 26
7 9
8 1
9 72
10 23
11 62
12 6
13 119
14 55
15 28
16 62
17 27
18 23
19
Optimizing Communication Using Global Dataflow Analysis
1
20
A Data Layout Optimization Technique Based on Hyperplanes
1

About Niraj Shenoy

Niraj Shenoy is a scholar working on Hardware and Architecture, Cancer Research and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (8 papers), Parallel Computing and Optimization Techniques (8 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Hardware and Architecture (192 citations), Cancer Research (305 citations) and Nutrition and Dietetics (179 citations). Niraj Shenoy has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Mark Levine, Thomas E. Witzig, Edward T. Creagan, Tushar D. Bhagat, Alok Choudhary, Amit Verma, Lance C. Pagliaro, Nishanth Vallumsetla, Amit Verma and Rebecca A. Luchtel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

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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