Mit Shah

807 citations
20 papers · 515 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Chemotherapy-induced cardiotoxicity and mitigation
    • Cardiac electrophysiology and arrhythmias
    • Cardiac Arrhythmias and Treatments

Papers in

Mit Shah

18 papers receiving 511 citations

Peers

Mit Shah
Comparison fields: 5 of 104
  • Cancer Research 142
  • Cardiology and Cardiovascular Medicine 213
  • Aging 6
  • Signal Processing 33
  • Molecular Biology 191
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Tao Mi China
Changxing Liu China
Richard Rivera Ecuador
Qihe Huang China
Tamás Micsík Hungary
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Dan Bao China
Zhengdong Wang China
D. Curtis Deno United States
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Citations per field
00.5×8.3×
Tao Mi · 1×
Citations per year

Countries citing papers authored by Mit Shah

Since Specialization
Citations

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

Fields of papers citing papers by Mit Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015170
2 201894
3 201363
4 201633
5 201633
6 202029
7 202328
8 202327
9 201612
10 20136
11 20185
12 20254
13 20164
14 20253
15 20191
16 20241
17 20231
18 20241
19 20250
20 20240

About Mit Shah

Mit Shah is a scholar working on Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Automotive Engineering, having authored 20 papers that have together received 515 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (3 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Birth, Development, and Health (2 papers), Cardiovascular Function and Risk Factors (2 papers), Vehicle Noise and Vibration Control (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Cancer Research (142 citations), Cardiology and Cardiovascular Medicine (213 citations), Aging (6 citations), Signal Processing (33 citations) and Molecular Biology (191 citations). Mit Shah has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Larisa Nonn, Shweta Dambal, Alexander R. Lyon, Markus B. Sikkel, Nilesh Pareek, Rajdeep Khattar, Li Ling Tan, Pedro Moliner, A. John Baksi and Stuart D. Rosen. Their work appears in journals such as Journal of the American College of Cardiology, Sadhana, Nature Communications, The Lancet Psychiatry and Radiology Cardiothoracic Imaging.

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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