Nima Nouri

869 total citations
22 papers, 228 citations indexed

About

Nima Nouri is a scholar working on Immunology, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Nima Nouri has authored 22 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Molecular Biology and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Nima Nouri's work include Single-cell and spatial transcriptomics (7 papers), T-cell and B-cell Immunology (6 papers) and Atomic and Subatomic Physics Research (5 papers). Nima Nouri is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), T-cell and B-cell Immunology (6 papers) and Atomic and Subatomic Physics Research (5 papers). Nima Nouri collaborates with scholars based in United States, United Kingdom and France. Nima Nouri's co-authors include Steven H. Kleinstein, Alexandre Martin, Brad Plaster, Francesco Panerai, Kaveh A. Tagavi, Nagi N. Mansour, Virginia Savova, Giorgio Gaglia, Emanuele de Rinaldis and Yuval Kluger and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Nima Nouri

20 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nima Nouri United States 9 89 72 39 27 27 22 228
Laura Galeotti Italy 10 210 2.4× 69 1.0× 8 0.2× 26 1.0× 14 0.5× 25 414
Allison Maker United States 7 18 0.2× 172 2.4× 19 0.5× 9 0.3× 3 0.1× 10 272
Karl Voss United States 9 59 0.7× 19 0.3× 3 0.1× 21 0.8× 30 1.1× 15 232
Andrey Kolobov Russia 11 19 0.2× 69 1.0× 30 0.8× 3 0.1× 4 0.1× 60 292
Y. Goto Japan 12 130 1.5× 77 1.1× 23 0.6× 45 1.7× 42 548
Yuanyuan Xu China 10 84 0.9× 69 1.0× 51 1.3× 93 3.4× 49 330
Francisco J. Mancebo Spain 10 39 0.4× 54 0.8× 2 0.1× 19 0.7× 164 6.1× 25 459
Xinfeng Liu United States 10 14 0.2× 88 1.2× 11 0.3× 7 0.3× 8 0.3× 17 378
Lionel Guillou France 7 26 0.3× 45 0.6× 35 0.9× 36 1.3× 1 0.0× 9 329
Kevin J. Kramer United States 12 42 0.5× 36 0.5× 22 0.6× 11 0.4× 31 367

Countries citing papers authored by Nima Nouri

Since Specialization
Citations

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

Fields of papers citing papers by Nima Nouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nima Nouri

This figure shows the co-authorship network connecting the top 25 collaborators of Nima Nouri. A scholar is included among the top collaborators of Nima Nouri 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 Nima Nouri. Nima Nouri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nouri, Nima, et al.. (2026). An agentic AI framework for ingestion and standardization of single-cell RNA-seq data analysis. SHILAP Revista de lepidopterología. 2(1).
2.
Nouri, Nima. (2025). Single-cell RNA-seq data augmentation using generative Fourier transformer. Communications Biology. 8(1). 113–113.
3.
Kurlovs, Andre H., Munender Vodnala, Elamaran Meibalan, et al.. (2024). Immune disease dialogue of chemokine-based cell communications as revealed by single-cell RNA sequencing meta-analysis. SHILAP Revista de lepidopterología. 4. 1466368–1466368. 1 indexed citations
4.
Nouri, Nima, Giorgio Gaglia, Hamid Mattoo, Emanuele de Rinaldis, & Virginia Savova. (2024). GENIX enables comparative network analysis of single-cell RNA sequencing to reveal signatures of therapeutic interventions. Cell Reports Methods. 4(6). 100794–100794. 4 indexed citations
6.
Nouri, Nima, Andre H. Kurlovs, Giorgio Gaglia, Emanuele de Rinaldis, & Virginia Savova. (2023). Scaling up single-cell RNA-seq data analysis with CellBridge workflow. Bioinformatics. 39(12). 4 indexed citations
7.
Nouri, Nima, Giorgio Gaglia, Andre H. Kurlovs, Emanuele de Rinaldis, & Virginia Savova. (2023). A marker gene-based method for identifying the cell-type of origin from single-cell RNA sequencing data. MethodsX. 10. 102196–102196. 10 indexed citations
8.
Nouri, Nima, Eleonora Bunsow, Djamel Nehar-Belaid, et al.. (2023). Young infants display heterogeneous serological responses and extensive but reversible transcriptional changes following initial immunizations. Nature Communications. 14(1). 7976–7976. 7 indexed citations
9.
Ohm‐Laursen, Line, Hailong Meng, Kenneth B. Hoehn, et al.. (2021). B Cell Mobilization, Dissemination, Fine Tuning of Local Antigen Specificity and Isotype Selection in Asthma. Frontiers in Immunology. 12. 702074–702074. 2 indexed citations
10.
Lindenbaum, Ofir, Nima Nouri, Yuval Kluger, & Steven H. Kleinstein. (2020). Alignment free identification of clones in B cell receptor repertoires. Nucleic Acids Research. 49(4). e21–e21. 14 indexed citations
11.
Nouri, Nima & Steven H. Kleinstein. (2020). Somatic hypermutation analysis for improved identification of B cell clonal families from next-generation sequencing data. PLoS Computational Biology. 16(6). e1007977–e1007977. 24 indexed citations
12.
Gharagozloo, Marjan, Abbas Rezaei, Afshin Bahador, et al.. (2018). Decline in peripheral blood NKG2D+CD3+CD56+ NKT cells in metastatic colorectal cancer patients. Bratislavské lekárske listy/Bratislava medical journal. 119(1). 6–11. 13 indexed citations
13.
Nouri, Nima & Steven H. Kleinstein. (2018). Optimized Threshold Inference for Partitioning of Clones From High-Throughput B Cell Repertoire Sequencing Data. Frontiers in Immunology. 9. 1687–1687. 10 indexed citations
14.
Nouri, Nima & Steven H. Kleinstein. (2018). A spectral clustering-based method for identifying clones from high-throughput B cell repertoire sequencing data. Bioinformatics. 34(13). i341–i349. 48 indexed citations
15.
Nouri, Nima, Aritra Biswas, Michael Brown, et al.. (2015). A prototype vector magnetic field monitoring system for a neutron electric dipole moment experiment. Journal of Instrumentation. 10(12). P12003–P12003. 3 indexed citations
16.
Nouri, Nima, Francesco Panerai, Kaveh A. Tagavi, Nagi N. Mansour, & Alexandre Martin. (2015). Evaluation of the anisotropic radiative conductivity of a low-density carbon fiber material from realistic microscale imaging. International Journal of Heat and Mass Transfer. 95. 535–539. 24 indexed citations
17.
Nouri, Nima & Brad Plaster. (2014). Systematic optimization of exterior measurement locations for the determination of interior magnetic field vector components in inaccessible regions. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 767. 92–98. 5 indexed citations
18.
19.
Nouri, Nima & Brad Plaster. (2013). Comparison of magnetic field uniformities for discretized and finite-sized standard cosθ, solenoidal, and spherical coils. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 723. 30–35. 20 indexed citations
20.
Beebe, James L. & Nima Nouri. (1984). Comparative evaluation of commercial fluorescent treponemal antibody-absorbed test kits. Journal of Clinical Microbiology. 19(6). 789–793. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026