Nazish Sayed

5.4k citations
76 papers · 3.3k · h-index 26

Impact in

Papers in

Nazish Sayed

68 papers receiving 3.3k citations

Peers

Nazish Sayed
Comparison fields: 5 of 121
  • Cardiology and Cardiovascular Medicine 723
  • Molecular Biology 1.9k
  • Physiology 586
  • Aging 32
  • Cellular and Molecular Neuroscience 279
Replace Daniela Cesselli with:
Daniela Cesselli Italy
Sang‐Ging Ong United States
Laurent Muller France
Timothy J. Nelson United States
Lan Cheng United States
Antonis K. Hatzopoulos United States
Wei Huang China
Daniel E. Michele United States
Akinori Nakamura Japan
Atsushi Nakano Japan
Nazish Sayed relative to Daniela Cesselli Italy Daniela 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 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017293
2 2012264
3 2018204
4 2016196
5 2007192
6 2007191
7 2019154
8 2014132
9 2019121
10 2016118
11 2018110
12 2018104
13 2008101
14 201995
15 200782
16 202082
17 201969
18 201866
19 201762
20 202353

About Nazish Sayed

Nazish Sayed is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Physiology and Biomedical Engineering, having authored 76 papers that have together received 3.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (21 papers), RNA Interference and Gene Delivery (8 papers), CRISPR and Genetic Engineering (8 papers), Nitric Oxide and Endothelin Effects (7 papers), Tissue Engineering and Regenerative Medicine (7 papers), 3D Printing in Biomedical Research (7 papers), Chemotherapy-induced cardiotoxicity and mitigation (6 papers) and Renal and related cancers (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (723 citations), Molecular Biology (1.9k citations), Physiology (586 citations), Aging (32 citations) and Cellular and Molecular Neuroscience (279 citations). Nazish Sayed has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include Joseph C. Wu, Chun Liu, Annie Beuve, Focco van den Akker, Xiaolei Ma, John P. Cooke, Angelos Oikonomopoulos, Padmamalini Baskaran, Haodi Wu and Tomoya Kitani. Their work appears in journals such as Circulation, Circulation Research, Stem Cell Research, Cell stem cell and Science Translational Medicine.

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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