Damodaran Narayanan

1.5k citations
29 papers · 1.2k · 1 hit paper · h-index 20

Impact in

Papers in

Damodaran Narayanan

28 papers receiving 1.2k citations

Damodaran Narayanan's Hit Papers

TP53 mutation defines a unique subgroup within complex karyotype de novo and therapy-related MDS/AML 2022 · 110 citations
1100+1+2Years since publication255075100

Peers

Damodaran Narayanan
Comparison fields: 5 of 94
  • Sensory Systems 226
  • Hematology 139
  • Cardiology and Cardiovascular Medicine 203
  • Molecular Biology 640
  • Cellular and Molecular Neuroscience 166
Replace Stefan Amisten with:
Stefan Amisten Sweden
William M. Isenberg United States
Angela Wirth Germany
Takahito Miyake Japan
Songwei Wu United States
Timothy M. Moore United States
TinaMarie Lieu Australia
Eva Göb Germany
Jenny van der Wijst Netherlands
Kinya Seo United States
Damodaran Narayanan relative to Stefan Amisten Sweden Stefan Amisten's profile →
Citations per field
00.5×3.7×
Stefan Amisten · 1×
Citations per year

Countries citing papers authored by Damodaran Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Damodaran Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TP53 mutation defines a unique subgroup within complex karyotype de novo and therapy-related MDS/AML
Hit paper breakdown →
2022110
2 201485
3 201281
4 201374
5 201074
6 201472
7 201070
8 200969
9 201067
10 201951
11 201148
12 201248
13 202248
14 201047
15 201646
16 201538
17 201636
18 201233
19 200930
20 201328

About Damodaran Narayanan

Damodaran Narayanan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Sensory Systems, Genetics and Pathology and Forensic Medicine, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (11 papers), Ion Channels and Receptors (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Ion Transport and Channel Regulation (4 papers), Connexins and lens biology (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Sensory Systems (226 citations), Hematology (139 citations), Cardiology and Cardiovascular Medicine (203 citations), Molecular Biology (640 citations) and Cellular and Molecular Neuroscience (166 citations). Damodaran Narayanan has collaborated with scholars based in United States. Frequent co-authors include Jonathan H. Jaggar, Adebowale Adebiyi, John P. Bannister, Olga K. Weinberg, M. Dennis Leo, Geetha Samak, Radhakrishna Rao, Guiling Zhao, Frederick A. Boop and Kyle S. Gabrick. Their work appears in journals such as Circulation Research, The FASEB Journal, American Journal of Physiology-Cell Physiology, The Journal of Physiology and American Journal of Physiology-Heart and Circulatory Physiology.

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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