Salma Ali

489 citations
22 papers · 152 · h-index 8

Impact in

Papers in

Salma Ali

20 papers receiving 147 citations

Peers

Salma Ali
Comparison fields: 5 of 64
  • Urology 40
  • Endocrinology, Diabetes and Metabolism 34
  • Genetics 45
  • Health Informatics 2
  • Reproductive Medicine 11
Replace Eunice Marumudi with:
Eunice Marumudi India
Natalia Pérez Garrido Argentina
Toshiyuki Iwahata Japan
Ahmad Al-Sayyad Saudi Arabia
Hílton Kuperman Brazil
Harriet Wylie United Kingdom
Svetlana Avulova United States
GS Conway United Kingdom
Lian‐Jun Pan China
Onur Karabacak Türkiye
Salma Ali relative to Eunice Marumudi India Eunice Marumudi's profile →
Citations per field
00.5×4.8×
Eunice Marumudi · 1×
Citations per year

Countries citing papers authored by Salma Ali

Since Specialization
Citations

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

Fields of papers citing papers by Salma Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202033
2 201917
3 201916
4 202113
5 202311
6 20219
7 20239
8 20218
9 20157
10 20227
11 20186
12 20206
13 20222
14 19962
15 20241
16 20241
17 20111
18 20101
19 20201
20 20201

About Salma Ali

Salma Ali is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Urology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 152 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (11 papers), Adrenal Hormones and Disorders (5 papers), Urological Disorders and Treatments (4 papers), Pituitary Gland Disorders and Treatments (3 papers), Genomics and Rare Diseases (3 papers), Thyroid Disorders and Treatments (2 papers), Hormonal and reproductive studies (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Urology (40 citations), Endocrinology, Diabetes and Metabolism (34 citations), Genetics (45 citations), Health Informatics (2 citations) and Reproductive Medicine (11 citations). Salma Ali has collaborated with scholars based in United Kingdom, Netherlands and Italy. Frequent co-authors include S. Faisal Ahmed, Jillian Bryce, Angela Lucas-Herald, Natasha M. Appelman‐Dijkstra, Luca Persani, Helen McDevitt, Martine Cools, Domenica Taruscio, Yllka Kodra and Olaf Hiort. Their work appears in journals such as Archives of Disease in Childhood, Endocrine Connections, International Journal of Environmental Research and Public Health, Hormone Research in Paediatrics and International Journal of Molecular Sciences.

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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