Ayesha Ismail

1.2k citations
34 papers · 898 indexed · h-index 18
Topics
Ubiquitin and proteasome pathways (10 papers)Vitamin D Research Studies (8 papers)Tannin, Tannase and Anticancer Activities (5 papers)
Partner nations
IndiaUnited StatesPoland

In The Last Decade

Ayesha Ismail

33 papers receiving 875 citations

Peers

Ayesha Ismail
Comparison fields: 5 of 100
  • Molecular Biology 458
  • Pathology and Forensic Medicine 169
  • Genetics 147
  • Physiology 119
  • Cell Biology 111
Replace Ellen Konings with:
Ellen Konings Netherlands
Chunhoo Cheon South Korea
Chieh‐Hsi Wu Taiwan
Jiangzheng Liu China
Tomohiro Miki Japan
Wan‐Teng Lin Taiwan
Marco Raffaele Italy
Ana Jover Spain
Na Yu China
Berna Demircan Türkiye
Ayesha Ismail relative to Ellen Konings Netherlands Ellen Konings's profile →
Citations per field
00.5×1.5×2.2×
Ellen Konings · 1×
Citations per year

Countries citing papers authored by Ayesha Ismail

Since Specialization
Citations

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

Fields of papers citing papers by Ayesha Ismail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayesha Ismail

This figure shows the co-authorship network connecting the top 25 collaborators of Ayesha Ismail. A scholar is included among the top collaborators of Ayesha Ismail 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 Ismail. Ayesha Ismail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 1
4 3
5 4
6 5
7 32
8 31
9
Job Satisfaction as a Determinant of Organizational Commitment
2
10 19
11 41
12
Murraya koenigii leaves: a potent anti-cancer agent against breast cancer
1
13 82
14 22
15 54
16
DISTRIBUTIVE JUSTICE AND THE EFFECT OF BENEFIT TYPES ON JOB PERFORMANCE WITHIN FEDERAL GLC IN SARAWAK, MALAYSIA
1
17
Motivation to Learn, Supervisor's Role and Transfer of Competency a Mediating Relationship
7
18 41
19 74
20 22

About Ayesha Ismail

Ayesha Ismail is a scholar working on Applied Microbiology and Biotechnology, Cell Biology and Pathology and Forensic Medicine, having authored 34 papers that have together received 898 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Vitamin D Research Studies (8 papers) and Tannin, Tannase and Anticancer Activities (5 papers). The work is most often cited by research in Drug Discovery (2 citations), Pathology and Forensic Medicine (169 citations) and Rehabilitation (48 citations). Ayesha Ismail has collaborated with scholars based in India, United States and Poland. Frequent co-authors include Zafar Nawaz, Mehrajuddin Bhat, S.S.Y.H. Qadri, G. Bhanuprakash Reddy, Guilian Fu, Bert W. O’Malley, Manchala Raghunath, V Reddy, N. Raghuramulu and Xiaotao Li. Their work appears in journals such as Molecular and Cellular Biology, Diabetes and Endocrinology.

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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