Aisha Tabassum

472 citations
27 papers · 326 · h-index 10

Impact in

Papers in

Aisha Tabassum

23 papers receiving 312 citations

Peers

Aisha Tabassum
Comparison fields: 5 of 91
  • Drug Discovery 1
  • Biochemistry 33
  • Animal Science and Zoology 26
  • Infectious Diseases 43
  • Toxicology 8
Replace Kaur Kaur with:
Kaur Kaur India
K. Geetha India
Camila Diedrich Brazil
Débora P. Araújo Brazil
Xingbin Ma China
Hasibe Cıngıllı Vural Türkiye
Lang‐Bang Hung Taiwan
Jiahuan Dong China
Fazal Rahman Sajid Chughtai Pakistan
Levent Altıntaş Türkiye
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Citations per field
00.5×6.3×
Kaur Kaur · 1×
Citations per year

Countries citing papers authored by Aisha Tabassum

Since Specialization
Citations

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

Fields of papers citing papers by Aisha Tabassum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202257
2 201051
3 200749
4 202028
5 202226
6 201122
7 202216
8 202315
9 202313
10 202212
11 20238
12 20236
13
BIOACTIVITY GUIDED FRACTIONATION AND ANTI-INFLAMMATORY ACTIVITY OF ACACIA NILOTICA PODS
20156
14 20222
15 20222
16 20172
17 20102
18 20202
19 20132
20
A Clinicopathological study of Wilms’ tumor among Sudanese patients
20212

About Aisha Tabassum

Aisha Tabassum is a scholar working on Molecular Biology, Food Science, Oncology, Infectious Diseases and Pathology and Forensic Medicine, having authored 27 papers that have together received 326 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (3 papers), Essential Oils and Antimicrobial Activity (3 papers), Renal and related cancers (2 papers), COVID-19 and Mental Health (2 papers), COVID-19 Clinical Research Studies (2 papers), Nanoparticles: synthesis and applications (2 papers), Nigella sativa pharmacological applications (2 papers) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Drug Discovery (1 citation), Biochemistry (33 citations), Animal Science and Zoology (26 citations), Infectious Diseases (43 citations) and Toxicology (8 citations). Aisha Tabassum has collaborated with scholars based in Saudi Arabia, India and Pakistan. Frequent co-authors include V. Venkateswaran, Robert G. Bristow, K. Radhakrishna, A. S. Bawa, Muhammad Riaz, Nafeesa Zahid, Jeongwon Park, Muhammad Imran, Bashir Ahmad and A. S. Bawa. Their work appears in journals such as Food Chemistry, Frontiers in Plant Science, ACS Omega, BioFactors and Journal of Food Science and Technology.

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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