Asma Gul

1.6k citations
56 papers · 1.1k · h-index 20

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 6
    • Bacterial biofilms and quorum sensing 2
    • Skin and Cellular Biology Research 5
    • Microtubule and mitosis dynamics 3

Asma Gul

49 papers receiving 1.1k citations

Peers

Asma Gul
Comparison fields: 5 of 146
  • Endocrinology 50
  • Cell Biology 130
  • Endocrinology, Diabetes and Metabolism 107
  • Nephrology 43
  • Molecular Medicine 30
Replace Lijuan Wu with:
Lijuan Wu China
Yen‐Ting Chen Taiwan
Yili Chen China
Jin Shi China
Mohammad Imran India
Liming Lin China
Ameneh Jafari Iran
Abolfazl Akbari Iran
Jun Woo Kim South Korea
Zhiying Wang China
Asma Gul relative to Lijuan Wu China Lijuan Wu's profile →
Citations per field
00.5×4.8×
Lijuan Wu · 1×
Citations per year

Countries citing papers authored by Asma Gul

Since Specialization
Citations

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

Fields of papers citing papers by Asma Gul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003123
2 2020108
3 2021102
4 201553
5 202053
6 201451
7
Role of wound classification in predicting the outcome of diabetic foot ulcer.
200645
8 200644
9 201744
10 200641
11 201340
12 201539
13 201432
14 200330
15
Prevalence of microalbuminuria in type 2 diabetic patients in Karachi: Pakistan: a multi-center study.
200530
16 201128
17 202227
18 201826
19 201622
20 200721

About Asma Gul

Asma Gul is a scholar working on Molecular Biology, Cell Biology, Physiology, Genetics and Plant Science, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (6 papers), Skin and Cellular Biology Research (5 papers), Microtubule and mitosis dynamics (3 papers), Pancreatic function and diabetes (3 papers), ZnO doping and properties (3 papers), Genetic and Kidney Cyst Diseases (2 papers), Bacterial biofilms and quorum sensing (2 papers) and Transition Metal Oxide Nanomaterials (2 papers). The work is most often cited by research in Endocrinology (50 citations), Cell Biology (130 citations), Endocrinology, Diabetes and Metabolism (107 citations), Nephrology (43 citations) and Molecular Medicine (30 citations). Asma Gul has collaborated with scholars based in Pakistan, United Kingdom and United States. Frequent co-authors include Javed Iqbal, Wasim Ahmad, Khatereh Khorsandi, Tariq Jan, Saeedeh Keyvani‐Ghamsari, Muhammad Naveed, Christopher H. Schmid, Imtiaz Khan, Tazeen H. Jafar and Andrew S. Levey. Their work appears in journals such as Molecules, Sustainability, British Journal of Dermatology, Journal of Hypertension and Ceramics International.

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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