Imran Mohammad

420 total citations
11 papers, 243 citations indexed

About

Imran Mohammad is a scholar working on Immunology, Oncology and Surgery. According to data from OpenAlex, Imran Mohammad has authored 11 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Oncology and 4 papers in Surgery. Recurrent topics in Imran Mohammad's work include Immune Cell Function and Interaction (9 papers), IL-33, ST2, and ILC Pathways (7 papers) and T-cell and B-cell Immunology (4 papers). Imran Mohammad is often cited by papers focused on Immune Cell Function and Interaction (9 papers), IL-33, ST2, and ILC Pathways (7 papers) and T-cell and B-cell Immunology (4 papers). Imran Mohammad collaborates with scholars based in United States, Sweden and Finland. Imran Mohammad's co-authors include Zhe Liu, Yuchen Gu, Zhi Chen, Tamás Nagy, Kalervo Väänänen, Jitao Guo, Wendy T. Watford, Emrah Yatkin, A Alisjahbana and Tim Willinger and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS Biology and Frontiers in Immunology.

In The Last Decade

Imran Mohammad

9 papers receiving 242 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Imran Mohammad United States 5 114 62 62 25 24 11 243
Chengxin Luo China 10 89 0.8× 119 1.9× 98 1.6× 76 3.0× 50 2.1× 23 363
Geriolda Topi Sweden 9 97 0.9× 110 1.8× 99 1.6× 53 2.1× 24 1.0× 14 320
Titli Nargis India 8 59 0.5× 66 1.1× 76 1.2× 34 1.4× 53 2.2× 15 308
Michael Gruen Germany 7 118 1.0× 99 1.6× 117 1.9× 21 0.8× 22 0.9× 11 337
Timna Varela Martins Brazil 6 109 1.0× 122 2.0× 37 0.6× 22 0.9× 20 0.8× 9 277
Niranthari Chinniah Australia 7 51 0.4× 102 1.6× 134 2.2× 9 0.4× 23 1.0× 7 469
Shunsuke Shiba Japan 10 67 0.6× 59 1.0× 28 0.5× 14 0.6× 20 0.8× 14 253

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-authorship network of co-authors of Imran Mohammad

This figure shows the co-authorship network connecting the top 25 collaborators of Imran Mohammad. A scholar is included among the top collaborators of Imran Mohammad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Imran Mohammad. Imran Mohammad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Mohammad, Imran, et al.. (2025). An intraepithelial ILC1-like natural killer cell subset produces IL-13. Frontiers in Immunology. 16. 1521086–1521086.
2.
3.
Mohammad, Imran, et al.. (2023). 995 Modulation of the inflammatory response within the tumor microenvironment by intraepithelial ILC1-like natural killer cells. SHILAP Revista de lepidopterología. A1102–A1102. 1 indexed citations
4.
Alisjahbana, A, Imran Mohammad, Yu Gao, Elza Evren, & Tim Willinger. (2023). Single-cell RNA sequencing of human lung innate lymphoid cells in the vascular and tissue niche reveals molecular features of tissue adaptation. PubMed. 2(1). kyad007–kyad007. 4 indexed citations
5.
Gao, Yu, A Alisjahbana, Imran Mohammad, et al.. (2022). A single-cell map of vascular and tissue lymphocytes identifies proliferative TCF-1+ human innate lymphoid cells. Frontiers in Immunology. 13. 902881–902881. 3 indexed citations
6.
Mohammad, Imran, et al.. (2021). Humanized Mouse Models for the Advancement of Innate Lymphoid Cell-Based Cancer Immunotherapies. Frontiers in Immunology. 12. 648580–648580. 14 indexed citations
7.
Gu, Yuchen, Imran Mohammad, & Zhe Liu. (2020). Overview of the STAT‑3 signaling pathway in cancer and the development of specific inhibitors (Review). Oncology Letters. 19(4). 2585–2594. 70 indexed citations
8.
Alisjahbana, A, Imran Mohammad, Yu Gao, et al.. (2019). Human macrophages and innate lymphoid cells: Tissue-resident innate immunity in humanized mice. Biochemical Pharmacology. 174. 113672–113672. 17 indexed citations
9.
Mohammad, Imran, Kari Nousiainen, Santosh D. Bhosale, et al.. (2018). Quantitative proteomic characterization and comparison of T helper 17 and induced regulatory T cells. PLoS Biology. 16(5). e2004194–e2004194. 12 indexed citations
10.
Mohammad, Imran, Tamás Nagy, Jitao Guo, et al.. (2018). Estrogen receptor α contributes to T cell–mediated autoimmune inflammation by promoting T cell activation and proliferation. Science Signaling. 11(526). 120 indexed citations
11.
Mohammad, Imran, et al.. (2018). Estrogen receptor α contributes to T cell–mediated autoimmune inflammation by promoting T cell activation and proliferation. Yearbook of pediatric endocrinology. 2 indexed citations

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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2026