Shairaz Baksh

2.5k citations
39 papers · 1.9k indexed · h-index 25
    • Sirtuins and Resveratrol in Medicine 4
    • Hippo pathway signaling and YAP/TAZ 8
    • Cancer-related gene regulation 9
    • Epigenetics and DNA Methylation 6
    • Kruppel-like factors research 5
    • Cell death mechanisms and regulation 4
    • Ubiquitin and proteasome pathways 4
  • Immunology top 10%
  • Aging top 10%
    • Inflammatory Bowel Disease 4

Shairaz Baksh

39 papers receiving 1.9k citations

Peers

Shairaz Baksh
Comparison fields: 5 of 104
  • Geriatrics and Gerontology 134
  • Cell Biology 544
  • Molecular Biology 1.3k
  • Immunology 341
  • Aging 25
Replace Katarzyna Piwocka with:
Katarzyna Piwocka Poland
Yansheng Feng China
Mandy Kwong United States
Dariusz Pytel United States
Shun-ichiro Iemura Japan
Zhongtao Zhang United States
Stéphane J. H. Ricoult United States
Tongzheng Liu China
Sébastien Cagnol Canada
Lucia Cilenti United States
Shairaz Baksh relative to Katarzyna Piwocka Poland Katarzyna Piwocka's profile →
Citations per field
00.5×1.5×2.1×
Katarzyna Piwocka · 1×
Citations per year

Countries citing papers authored by Shairaz Baksh

Since Specialization
Citations

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

Fields of papers citing papers by Shairaz Baksh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 202310
4 201810
5 201811
6 201617
7 2016114
8 201528
9 201339
10
Entrepreneurship development and the role of NGO's: An assessment
20121
11 201026
12 200925
13 2008207
14 2005148
15 200424
16 200227
17 200231
18 199554
19 199518
20 19947

About Shairaz Baksh

Shairaz Baksh is a scholar working on Geriatrics and Gerontology, Cell Biology and Molecular Biology, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related gene regulation (9 papers), Hippo pathway signaling and YAP/TAZ (8 papers), Epigenetics and DNA Methylation (6 papers), Kruppel-like factors research (5 papers), Cell death mechanisms and regulation (4 papers), Ubiquitin and proteasome pathways (4 papers), Sirtuins and Resveratrol in Medicine (4 papers) and Inflammatory Bowel Disease (4 papers). The work is most often cited by research in Geriatrics and Gerontology (134 citations), Cell Biology (544 citations) and Molecular Biology (1.3k citations). Shairaz Baksh has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Marek Michalak, Marilyn Gordon, Jason R.B. Dyck, Victor C. Yu, Mohamed Salla, Anita Y.M. Chan, Benoı̂t Viollet, Carrie-Lynn M. Soltys, Peter E. Light and Vernon W. Dolinsky. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Molecular Cell.

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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