Suhad Ali

3.1k citations
58 papers · 2.4k · h-index 30

Impact in

Papers in

    • TGF-β signaling in diseases 12
    • Protein Tyrosine Phosphatases 8
    • Metabolism, Diabetes, and Cancer 6
    • Cancer Cells and Metastasis 11
    • Cancer-related Molecular Pathways 10
    • Cytokine Signaling Pathways and Interactions 9

Suhad Ali

58 papers receiving 2.4k citations

Peers

Suhad Ali
Comparison fields: 5 of 100
  • Oncology 1.1k
  • Endocrinology, Diabetes and Metabolism 404
  • Cancer Research 334
  • Molecular Biology 1.5k
  • Immunology 370
Replace Daniela Califano with:
Daniela Califano Italy
Maria Nesterova United States
Donald J. Vander Griend United States
Blake Lee Neubauer United States
Enke Baldini Italy
Corinne M. Silva United States
Lawrence S. Argetsinger United States
Jorge Martı́n-Pérez Spain
Raphael C. Guzman United States
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Citations per field
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Citations per year

Countries citing papers authored by Suhad Ali

Since Specialization
Citations

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

Fields of papers citing papers by Suhad Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993193
2 1995149
3 2002138
4 2007113
5 2001112
6 199598
7 200696
8 201387
9 202181
10 201873
11 200270
12 200370
13 200367
14 199567
15 199866
16 201754
17 201254
18 201651
19 200750
20 201050

About Suhad Ali

Suhad Ali is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Immunology and Cell Biology, having authored 58 papers that have together received 2.4k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (12 papers), Cancer Cells and Metastasis (11 papers), Cancer-related Molecular Pathways (10 papers), Cytokine Signaling Pathways and Interactions (9 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Protein Tyrosine Phosphatases (8 papers), Metabolism, Diabetes, and Cancer (6 papers) and Galectins and Cancer Biology (4 papers). The work is most often cited by research in Oncology (1.1k citations), Endocrinology, Diabetes and Metabolism (404 citations), Cancer Research (334 citations), Molecular Biology (1.5k citations) and Immunology (370 citations). Suhad Ali has collaborated with scholars based in Canada, United Arab Emirates and Germany. Frequent co-authors include Jean‐Jacques Lebrun, Meiou Dai, Eftihia Cocolakis, Ibrahim Y. Hachim, Samir Ali, Paul A. Kelly, Axel Ullrich, Naila Chughtai, Shafaat A. Rabbani and Mahmood Yaseen Hachim. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Scientific Reports, Breast Cancer Research and Oncogenesis.

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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