Ayesha Sitlani

2.3k citations
18 papers · 1.4k indexed · h-index 18
Topics
Lipoproteins and Cardiovascular Health (6 papers)DNA and Nucleic Acid Chemistry (5 papers)Computational Drug Discovery Methods (3 papers)
Partner nations
United StatesItalyRussia

In The Last Decade

Ayesha Sitlani

18 papers receiving 1.3k citations

Peers

Ayesha Sitlani
Comparison fields: 5 of 91
  • Molecular Biology 667
  • Surgery 537
  • Oncology 406
  • Organic Chemistry 196
  • Immunology 131
Replace Richard Sedrani with:
Richard Sedrani Switzerland
Ted W. Johnson United States
Kirubhagaran Ravichandran United States
Mark R. Witmer United States
Pierre Deprez Belgium
Philip D. Edwards United States
Yoshikazu Iwasawa Japan
Frédéric Massé Canada
Daniel B. Kassel United States
Dashyant Dhanak United States
Ayesha Sitlani relative to Richard Sedrani Switzerland Richard Sedrani's profile →
Citations per field
00.5×1.5×1.8×
Richard Sedrani · 1×
Citations per year

Countries citing papers authored by Ayesha Sitlani

Since Specialization
Citations

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

Fields of papers citing papers by Ayesha Sitlani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayesha Sitlani

This figure shows the co-authorship network connecting the top 25 collaborators of Ayesha Sitlani. A scholar is included among the top collaborators of Ayesha Sitlani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ayesha Sitlani. Ayesha Sitlani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 30
2 26
3 182
4 83
5 107
6 35
7 79
8 159
9 27
10 17
11 41
12 34
13 45
14 34
15 46
16 53
17 47
18 339

About Ayesha Sitlani

Ayesha Sitlani is a scholar working on Computational Theory and Mathematics, Pharmaceutical Science and Surgery, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), DNA and Nucleic Acid Chemistry (5 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Oncology (406 citations), Surgery (537 citations) and Molecular Biology (667 citations). Ayesha Sitlani has collaborated with scholars based in United States, Italy and Russia. Frequent co-authors include Jacqueline K. Barton, Anna Marie Pyle, Eric C. Long, Donald M. Crothers, Shilpa Pandit, Andrea Carfı́, Paola Lo Surdo, Alessandra Calzetta, Joseph C. Santoro and Carl P. Sparrow. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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