Niraj Shenoy

2.7k citations
46 papers · 1.4k · h-index 22

Impact in

Papers in

Niraj Shenoy

44 papers receiving 1.4k citations

Peers

Niraj Shenoy
Comparison fields: 5 of 112
  • Hardware and Architecture 192
  • Cancer Research 305
  • Nutrition and Dietetics 179
  • Genetics 98
  • Hematology 100
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
00.5×10×16.3×
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-authors

The 25 scholars most cited alongside Niraj Shenoy, 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 Niraj Shenoy Line = papers co-authored together Niraj Shenoy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018159
2 2020120
3 2016119
4 201492
5 201772
6 201770
7 201566
8 200265
9 201262
10 201662
11 201455
12 202152
13 201647
14 199943
15 201428
16 199828
17 201027
18 202026
19 199926
20 201723

About Niraj Shenoy

Niraj Shenoy is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Computer Networks and Communications, Cancer Research and Hardware and Architecture, 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), Cancer, Hypoxia, and Metabolism (6 papers), Prostate Cancer Treatment and Research (5 papers), Epigenetics and DNA Methylation (5 papers), Embedded Systems Design Techniques (5 papers), Renal and related cancers (4 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Hardware and Architecture (192 citations), Cancer Research (305 citations), Nutrition and Dietetics (179 citations), Genetics (98 citations) and Hematology (100 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, Amit Verma, Alok Choudhary, Lance C. Pagliaro, Nishanth Vallumsetla, Amit Verma and Rebecca A. Luchtel. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Hematology & Oncology, Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cancer.

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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