Aftab Alam

545 citations
14 papers · 377 · 1 hit paper · h-index 6

Impact in

    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

Aftab Alam

10 papers receiving 374 citations

Aftab Alam's Hit Papers

Fungal mycobiome drives IL-33 secretion and type 2 immunity in pancreatic cancer 2022 · 263 citations
2630+1+2Years since publication50100150200250

Peers

Aftab Alam
Comparison fields: 5 of 70
  • Oncology 115
  • Immunology 85
  • Biotechnology 34
  • Clinical Biochemistry 23
  • Biological Psychiatry 7
Replace Sara Vicente-Muñoz with:
Sara Vicente-Muñoz United States
Brian Yueh United States
Charlie C. Huang United States
Yusuke Shimizu Japan
Onur Eskiocak United States
Hanna J. Clarke United Kingdom
Chin-Chih Liu United States
Rute Alves Pereira e Costa Brazil
Caroline Choisy France
Ailin Lu China
Aftab Alam relative to Sara Vicente-Muñoz United States Sara Vicente-Muñoz's profile →
Citations per field
00.5×2×2.6×
Sara Vicente-Muñoz · 1×
Citations per year

Countries citing papers authored by Aftab Alam

Since Specialization
Citations

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

Fields of papers citing papers by Aftab Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Aftab Alam, 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 Aftab Alam Line = papers co-authored together Aftab Alam links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Fungal mycobiome drives IL-33 secretion and type 2 immunity in pancreatic cancer
Hit paper breakdown →
2022263
2 198839
3 202334
4 201917
5 19899
6
Studies on the denaturation of biological macromolecules by chemical carcinogens.
19668
7 20223
8 20222
9 20241
10 20261
11 20250
12 20250
13 20250
14 20260

About Aftab Alam

Aftab Alam is a scholar working on Clinical Biochemistry, Oncology, Immunology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 377 indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (3 papers), Metabolism and Genetic Disorders (2 papers), Computational Drug Discovery Methods (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immune Cell Function and Interaction (2 papers), Rabies epidemiology and control (1 paper), Cancer Cells and Metastasis (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Oncology (115 citations), Immunology (85 citations), Biotechnology (34 citations), Clinical Biochemistry (23 citations) and Biological Psychiatry (7 citations). Aftab Alam has collaborated with scholars based in United States, India and Saudi Arabia. Frequent co-authors include Yixian Zhang, Shubhro Chakrabartty, Mohammad Sarwar Alam, Gausal Azam Khan, Md. Iqbal Alam, Prasenjit Dey, Eric Levanduski, Ansu Kumar, Tariq Mohammed Aljarba and James A. Wingrove. Their work appears in journals such as Cancer Cell, Signal Transduction and Targeted Therapy, Biochimica et Biophysica Acta (BBA) - General Subjects, Journal of Computer-Aided Molecular Design and Biochimie.

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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