Ashwin Narayanan

719 total citations
20 papers, 348 citations indexed

About

Ashwin Narayanan is a scholar working on Genetics, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ashwin Narayanan has authored 20 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ashwin Narayanan's work include Glioma Diagnosis and Treatment (6 papers), Immune cells in cancer (3 papers) and interferon and immune responses (2 papers). Ashwin Narayanan is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Immune cells in cancer (3 papers) and interferon and immune responses (2 papers). Ashwin Narayanan collaborates with scholars based in United States, Italy and Germany. Ashwin Narayanan's co-authors include Pietro Mortini, Filippo Gagliardi, Nicola Boari, Paola Zordan, Elena Mazza, Lindsay E. Stoyka, Alberto Franzin, Laura A. Volpicelli‐Daley, David G. Standaert and Şevin Turcan and has published in prestigious journals such as Scientific Reports, Cellular and Molecular Life Sciences and Glia.

In The Last Decade

Ashwin Narayanan

18 papers receiving 341 citations

Peers

Ashwin Narayanan
Comparison fields: 5 of 78
  • Molecular Biology 124
  • Neurology 62
  • Oncology 60
  • Cancer Research 57
  • Immunology 55
Replace Sarah Teuber‐Hanselmann with:
Sarah Teuber‐Hanselmann Germany
Haiping He China
Xiutian Sima China
Thomas Broggini Germany
Fangcheng Zhang China
Stephanie Wu United States
Marisa Teigell France
Simon Gritsch United States
Sabrina Paratore Italy
Weiming Zheng China
Sarah Teuber‐Hanselmann Germany View profile →
Citations per field, relative to Ashwin Narayanan
Ashwin Narayanan · 1×
Citations per year, relative to Ashwin Narayanan
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Countries citing papers authored by Ashwin Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Ashwin Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashwin Narayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Ashwin Narayanan. A scholar is included among the top collaborators of Ashwin Narayanan 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 Ashwin Narayanan. Ashwin Narayanan 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
# Work Indexed citations
1 0
2 18
3 21
4 17
5 16
6 3
7 15
8 27
9 6
10 11
11 8
12 16
13 48
14 24
15 1
16 40
17 6
18 55
19 0
20 16

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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