Imran Mohammad

420 citations
11 papers · 243 · h-index 5

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Reproductive System and Pregnancy
    • IL-33, ST2, and ILC Pathways
    • Immune cells in cancer
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Immune Cell Function and Interaction 9
    • IL-33, ST2, and ILC Pathways 7
    • T-cell and B-cell Immunology 4
    • Cytokine Signaling Pathways and Interactions 3
    • CAR-T cell therapy research 1

Imran Mohammad

9 papers receiving 242 citations

Peers

Imran Mohammad
Comparison fields: 5 of 66
  • Immunology 114
  • Oncology 62
  • Reproductive Medicine 11
  • Pathology and Forensic Medicine 23
  • Cancer Research 19
Replace Lidia La Barbera with:
Lidia La Barbera Italy
Zhengqiang Bao China
Edward P. Retzbach United States
Michael Gruen Germany
I. Gina Rojas Chile
Bingni Chen China
Pooya Farhangnia Iran
Junyu He China
Imran Mohammad relative to Lidia La Barbera Italy Lidia La Barbera's profile →
Citations per field
00.5×9.3×
Lidia La Barbera · 1×
Citations per year

Countries citing papers authored by Imran Mohammad

Since Specialization
Citations

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

Fields of papers citing papers by Imran Mohammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2018120
2 202070
3 201917
4 202114
5 201812
6 20234
7 20223
8 20182
9 20231
10 20240
11 20250

About Imran Mohammad

Imran Mohammad is a scholar working on Immunology, Oncology, Surgery, Pharmacology and Infectious Diseases, having authored 11 papers that have together received 243 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), IL-33, ST2, and ILC Pathways (7 papers), T-cell and B-cell Immunology (4 papers), Eosinophilic Esophagitis (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), CAR-T cell therapy research (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Medicinal Plant Pharmacodynamics Research (1 paper). The work is most often cited by research in Immunology (114 citations), Oncology (62 citations), Reproductive Medicine (11 citations), Pathology and Forensic Medicine (23 citations) and Cancer Research (19 citations). Imran Mohammad has collaborated with scholars based in United States, Sweden and Finland. Frequent co-authors include Yuchen Gu, Zhe Liu, Zhi Chen, Kalervo Väänänen, Tamás Nagy, Emrah Yatkin, Jitao Guo, Wendy T. Watford, Yu Gao and A Alisjahbana. Their work appears in journals such as Frontiers in Immunology, PLoS Biology, Otolaryngology, Biochemical Pharmacology and Science Signaling.

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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