Suhad Ali

3.3k citations
58 papers · 2.5k · h-index 30

Impact in

Papers in

    • TGF-β signaling in diseases 11
    • Protein Tyrosine Phosphatases 7
    • Metabolism, Diabetes, and Cancer 5
    • Cancer Cells and Metastasis 10
    • Cytokine Signaling Pathways and Interactions 8
    • Cancer-related Molecular Pathways 7

Suhad Ali

57 papers receiving 2.5k citations

Peers

Suhad Ali
Comparison fields: 5 of 100
  • Oncology 1.0k
  • Endocrinology, Diabetes and Metabolism 399
  • Cancer Research 306
  • Molecular Biology 1.4k
  • Immunology 352
Replace Daniela Califano with:
Daniela Califano Italy
Corinne M. Silva United States
Blake Lee Neubauer United States
Jorge Martı́n-Pérez Spain
Lawrence S. Argetsinger United States
Lars-Arne Haldosén Sweden
Akiko Kimura Japan
Iris E. Eder Austria
Gabriella De Vita Italy
Hugh F. English United States
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Citations per field
00.5×1.5×1.9×
Daniela Califano · 1×
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 1993208
2 1995153
3 2002143
4 2007117
5 2001116
6 1995103
7 200697
8 201389
9 202186
10 201878
11 200274
12 200371
13 199870
14 199569
15 200368
16 201755
17 201255
18 201653
19 201052
20 200450

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 2.5k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (11 papers), Cancer Cells and Metastasis (10 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Cytokine Signaling Pathways and Interactions (8 papers), Protein Tyrosine Phosphatases (7 papers), Cancer-related Molecular Pathways (7 papers), Metabolism, Diabetes, and Cancer (5 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). The work is most often cited by research in Oncology (1.0k citations), Endocrinology, Diabetes and Metabolism (399 citations), Cancer Research (306 citations), Molecular Biology (1.4k citations) and Immunology (352 citations). Suhad Ali has collaborated with scholars based in Canada, United Arab Emirates and Germany. Frequent co-authors include Jean‐Jacques Lebrun, Eftihia Cocolakis, Meiou Dai, Ibrahim Y. Hachim, Paul A. Kelly, Axel Ullrich, Naila Chughtai, Samir Ali, Shafaat A. Rabbani and Mahmood Yaseen Hachim. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Breast Cancer Research, Scientific Reports 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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