Selman Ali

657 citations
25 papers · 567 · h-index 12

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Cell Adhesion Molecules Research

Papers in

    • Immunotherapy and Immune Responses 10
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Angiogenesis and VEGF in Cancer 3

Selman Ali

23 papers receiving 546 citations

Peers

Selman Ali
Comparison fields: 5 of 74
  • Immunology 234
  • Immunology and Allergy 60
  • Oncology 248
  • Molecular Biology 183
  • Genetics 67
Replace Natalia Sigal with:
Natalia Sigal United States
John L. McElwee United States
Judith A. Swack United States
M. Taguchi Japan
Ben de Wet United Kingdom
Stephen R. Indelicato United States
Hema Srinath United States
Annette H. Andersen Denmark
Pedro Roda‐Navarro Spain
Mario M. Müller Germany
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Citations per field
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Citations per year

Countries citing papers authored by Selman Ali

Since Specialization
Citations

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

Fields of papers citing papers by Selman Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997201
2 200449
3 200347
4 199937
5 199936
6 200229
7 201026
8 200422
9
Disabled infectious single cycle-herpes simplex virus (DISC-HSV) as a vector for immunogene therapy of cancer.
200216
10 199814
11 200514
12 200413
13 199610
14 201810
15 20038
16 20228
17 20057
18 20196
19 20034
20 20143

About Selman Ali

Selman Ali is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Epidemiology, having authored 25 papers that have together received 567 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Immune Cell Function and Interaction (5 papers), Virus-based gene therapy research (5 papers), T-cell and B-cell Immunology (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Cell Adhesion Molecules Research (3 papers), Cancer Cells and Metastasis (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Immunology (234 citations), Immunology and Allergy (60 citations), Oncology (248 citations), Molecular Biology (183 citations) and Genetics (67 citations). Selman Ali has collaborated with scholars based in United Kingdom, Iran and Tanzania. Frequent co-authors include Robert C. Rees, Dennis D. Taub, Geng Li, Stéphanie McArdle, Shahzad I. Mian, Murrium Ahmad, C. S. McLean, Claire Entwisle, Peter T. Loudon and Kathryn Murray. Their work appears in journals such as International Journal of Cancer, Cancer Immunology Immunotherapy, Clinical & Experimental Metastasis, The Journal of Immunology and PROTEOMICS.

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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