Almin Lalani

892 total citations
11 papers, 370 citations indexed

About

Almin Lalani is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Almin Lalani has authored 11 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 4 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Almin Lalani's work include Immune Response and Inflammation (5 papers), NF-κB Signaling Pathways (4 papers) and interferon and immune responses (3 papers). Almin Lalani is often cited by papers focused on Immune Response and Inflammation (5 papers), NF-κB Signaling Pathways (4 papers) and interferon and immune responses (3 papers). Almin Lalani collaborates with scholars based in United States, Netherlands and China. Almin Lalani's co-authors include Ping Xie, Sining Zhu, Juan Jin, Samantha Gokhale, Chang Luo, Madhuvika Murugan, Jiyun Peng, Pingyi Xu, Long‐Jun Wu and Mingshu Mo and has published in prestigious journals such as The Journal of Immunology, Frontiers in Immunology and Journal of Visualized Experiments.

In The Last Decade

Almin Lalani

10 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Almin Lalani United States 6 200 138 104 88 84 11 370
Timothy A. Ashley United States 7 161 0.8× 234 1.7× 39 0.4× 65 0.7× 82 1.0× 7 463
Sarah B. Simmons United States 5 219 1.1× 84 0.6× 55 0.5× 22 0.3× 126 1.5× 6 377
Lilian I. Reyes Chile 6 180 0.9× 70 0.5× 66 0.6× 17 0.2× 103 1.2× 9 337
Alma N. Mohebiany Germany 8 198 1.0× 129 0.9× 41 0.4× 25 0.3× 40 0.5× 8 357
Sarah Pasquin Canada 10 93 0.5× 116 0.8× 81 0.8× 24 0.3× 17 0.2× 16 293
Anna Gorelik Israel 7 99 0.5× 164 1.2× 82 0.8× 34 0.4× 82 1.0× 10 369
Shinya Kusakari Japan 13 208 1.0× 227 1.6× 33 0.3× 36 0.4× 41 0.5× 25 441
Sandy Reiß Germany 5 103 0.5× 108 0.8× 33 0.3× 16 0.2× 81 1.0× 8 229
M. Victoria Simón Argentina 10 61 0.3× 362 2.6× 33 0.3× 26 0.3× 29 0.3× 12 495

Countries citing papers authored by Almin Lalani

Since Specialization
Citations

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

Fields of papers citing papers by Almin Lalani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Almin Lalani

This figure shows the co-authorship network connecting the top 25 collaborators of Almin Lalani. A scholar is included among the top collaborators of Almin Lalani 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 Almin Lalani. Almin Lalani 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.
Zhu, Sining, Almin Lalani, Guojun Wu, et al.. (2025). Commensal Bacteria Drive B-cell Lymphomagenesis in the Setting of Innate Immunodeficiency. Blood Cancer Discovery. 6(5). 505–525.
2.
Zhu, Sining, Almin Lalani, Juan Jin, et al.. (2023). The adaptor protein TRAF3 is an immune checkpoint that inhibits myeloid-derived suppressor cell expansion. Frontiers in Immunology. 14. 1167924–1167924. 4 indexed citations
3.
Gartner, Jared J., Maria R. Parkhurst, Alena Gros, et al.. (2021). A machine learning model for ranking candidate HLA class I neoantigens based on known neoepitopes from multiple human tumor types. Nature Cancer. 2(5). 563–574. 56 indexed citations
4.
Sckisel, Gail D., Anupama Sahoo, Almin Lalani, et al.. (2020). Engineered IL-21 Cytokine Muteins Fused to Anti-PD-1 Antibodies Can Improve CD8+ T Cell Function and Anti-tumor Immunity. Frontiers in Immunology. 11. 832–832. 55 indexed citations
5.
Lalani, Almin, Sining Zhu, & Ping Xie. (2018). Characterization of Thymus-dependent and Thymus-independent Immunoglobulin Isotype Responses in Mice Using Enzyme-linked Immunosorbent Assay. Journal of Visualized Experiments. 4 indexed citations
7.
Lalani, Almin, Sining Zhu, Samantha Gokhale, Juan Jin, & Ping Xie. (2017). TRAF Molecules in Inflammation and Inflammatory Diseases. Current Pharmacology Reports. 4(1). 64–90. 78 indexed citations
8.
Zhu, Sining, Chang Luo, Almin Lalani, Ronald P. Hart, & Ping Xie. (2017). Rhbdf1 is a novel target of TRAF3 inactivation in B lymphocytes. The Journal of Immunology. 198(Supplement_1). 212.2–212.2. 1 indexed citations
9.
Eyo, Ukpong B, Jiyun Peng, Madhuvika Murugan, et al.. (2016). Regulation of Physical Microglia–Neuron Interactions by Fractalkine Signaling after Status Epilepticus. eNeuro. 3(6). ENEURO.0209–16.2016. 87 indexed citations
10.
Lalani, Almin, et al.. (2015). TRAF3: a novel tumor suppressor gene in macrophages. PubMed. 2. e1009–e1009. 27 indexed citations
11.
Lalani, Almin, Carissa Moore, Chang Luo, et al.. (2014). Myeloid Cell TRAF3 Regulates Immune Responses and Inhibits Inflammation and Tumor Development in Mice. The Journal of Immunology. 194(1). 334–348. 56 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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