Anand Pathak
Impact in
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- Cardiac electrophysiology and arrhythmias
- Cardiomyopathy and Myosin Studies
- Viral Infections and Immunology Research
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- Ion channel regulation and function
- CRISPR and Genetic Engineering
- Signaling Pathways in Disease
Papers in
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- Neural dynamics and brain function 4
- Functional Brain Connectivity Studies 3
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- Complex Network Analysis Techniques 2
- Co-authors
- Evangelia Galani Kranias (3 shared papers)RJ Hajjar (2 shared papers)John N. Lorenz (1 shared paper)Anna A DePaoli-Roach (1 shared paper)Wen Zhao (1 shared paper)Harvey S. Hahn (1 shared paper)Ilona Bódi (1 shared paper)Federica del Monte (1 shared paper)
- Journals
- Circulation Research (2 papers)Physical review. E (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)PLoS Computational Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesIndiaUkraine
In The Last Decade
Anand Pathak
10 papers receiving 369 citations
Peers
Comparison fields: 5 of 56
- Cardiology and Cardiovascular Medicine 213
- Molecular Biology 249
- Aging 6
- Cancer Research 35
- Genetics 60
Countries citing papers authored by Anand Pathak
This map shows the geographic impact of Anand Pathak'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 Anand Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anand Pathak more than expected).
Fields of papers citing papers by Anand Pathak
This network shows the impact of papers produced by Anand Pathak. 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 Anand Pathak. The network helps show where Anand Pathak may publish in the future.
Co-authors
The 25 scholars most cited alongside Anand Pathak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 194 | |
| 2 | 2009 | 91 | |
| 3 | 2023 | 47 | |
| 4 | Key protein alterations associated with hyperdynamic cardiac function: insights based on proteomic analysis of the protein phosphatase 1 inhibitor-1 overexpressing hearts. | 2007 | 16 |
| 5 | 2020 | 12 | |
| 6 | 2014 | 9 | |
| 7 | 2019 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2015 | 3 | |
| 10 | 2022 | 1 | |
| 11 | 2025 | 0 |
About Anand Pathak
Anand Pathak is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Cancer Research, Aging and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 382 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Functional Brain Connectivity Studies (3 papers), Cancer Genomics and Diagnostics (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Complex Network Analysis Techniques (2 papers), Complex Systems and Time Series Analysis (1 paper), Cell death mechanisms and regulation (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (213 citations), Molecular Biology (249 citations), Aging (6 citations), Cancer Research (35 citations) and Genetics (60 citations). Anand Pathak has collaborated with scholars based in United States, India and Ukraine. Frequent co-authors include Evangelia Galani Kranias, RJ Hajjar, John N. Lorenz, Anna A DePaoli-Roach, Wen Zhao, Harvey S. Hahn, Ilona Bódi, Federica del Monte, Andrew N. Carr and Yehia Marreez. Their work appears in journals such as Circulation Research, Physical review. E, Journal for ImmunoTherapy of Cancer, PLoS Computational Biology and Nature Communications.
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.