Nazish Sayed

5.6k citations
81 papers · 3.5k · h-index 27

Impact in

Papers in

Nazish Sayed

74 papers receiving 3.5k citations

Peers

Nazish Sayed
Comparison fields: 5 of 123
  • Cardiology and Cardiovascular Medicine 759
  • Molecular Biology 2.0k
  • Physiology 623
  • Aging 35
  • Cellular and Molecular Neuroscience 297
Replace D. Cesselli with:
D. Cesselli Italy
Laurent Muller France
Sang‐Ging Ong United States
Timothy J. Nelson United States
Akinori Nakamura Japan
Antonis K. Hatzopoulos United States
Carolyn A. Carr United Kingdom
Juergen Hescheler Germany
Daniel E. Michele United States
Susumu Minamisawa Japan
Nazish Sayed relative to D. Cesselli Italy D. Cesselli's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nazish Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Nazish Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017311
2 2012280
3 2018216
4 2016210
5 2007202
6 2007196
7 2019155
8 2014137
9 2019130
10 2016127
11 2018113
12 2018111
13 2008105
14 201999
15 202085
16 200784
17 201975
18 201873
19 201764
20 202361

About Nazish Sayed

Nazish Sayed is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology, Surgery and Oncology, having authored 81 papers that have together received 3.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (22 papers), CRISPR and Genetic Engineering (9 papers), RNA Interference and Gene Delivery (8 papers), Nitric Oxide and Endothelin Effects (7 papers), Chemotherapy-induced cardiotoxicity and mitigation (7 papers), 3D Printing in Biomedical Research (7 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Cardiac Fibrosis and Remodeling (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (759 citations), Molecular Biology (2.0k citations), Physiology (623 citations), Aging (35 citations) and Cellular and Molecular Neuroscience (297 citations). Nazish Sayed has collaborated with scholars based in United States, India and China. Frequent co-authors include J. Wu, Chun Liu, Annie V. Beuve, Xiaolei Ma, Focco van den Akker, John P. Cooke, Angelos Oikonomopoulos, Padmamalini Baskaran, Haodi Wu and Tomoya Kitani. Their work appears in journals such as Circulation, Stem Cell Research, Science Translational Medicine, Cell stem cell and Stem Cell Reports.

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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