Alos Diallo

1.1k total citations
19 papers, 713 citations indexed

About

Alos Diallo is a scholar working on Molecular Biology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Alos Diallo has authored 19 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Alos Diallo's work include Bioinformatics and Genomic Networks (3 papers), Immune Cell Function and Interaction (3 papers) and T-cell and B-cell Immunology (3 papers). Alos Diallo is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Immune Cell Function and Interaction (3 papers) and T-cell and B-cell Immunology (3 papers). Alos Diallo collaborates with scholars based in United States, Netherlands and Italy. Alos Diallo's co-authors include Chad L. Myers, Albertha J.M. Walhout, Rachel L. Clement, J. Daniel Nelson, Peter T. Sage, Juan I. Fuxman Bass, Bruce R. Blazar, Arlene H. Sharpe, Joe Daccache and Vijay K. Kuchroo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Alos Diallo

14 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alos Diallo United States 9 351 266 55 53 52 19 713
Natsumi Araya Japan 19 347 1.0× 692 2.6× 40 0.7× 40 0.8× 36 0.7× 47 1.2k
Brian K. Dalley United States 12 458 1.3× 56 0.2× 63 1.1× 28 0.5× 68 1.3× 22 697
Vitalii Kleshchevnikov United Kingdom 3 761 2.2× 160 0.6× 79 1.4× 32 0.6× 90 1.7× 4 854
Katarzyna Jastrzebski Australia 10 677 1.9× 67 0.3× 51 0.9× 46 0.9× 103 2.0× 12 815
Charalampos Lazaris United States 11 782 2.2× 75 0.3× 63 1.1× 52 1.0× 76 1.5× 14 947
Sohini Sanyal United States 6 586 1.7× 164 0.6× 76 1.4× 36 0.7× 50 1.0× 6 897
Andrew Tae-Jun Kwon Canada 8 784 2.2× 91 0.3× 117 2.1× 38 0.7× 146 2.8× 13 978
Nancy George United Kingdom 7 483 1.4× 66 0.2× 47 0.9× 28 0.5× 91 1.8× 9 670
Carl G. de Boer Canada 15 800 2.3× 144 0.5× 157 2.9× 16 0.3× 53 1.0× 23 1.1k
Suganthi Chittaranjan Canada 10 412 1.2× 128 0.5× 27 0.5× 331 6.2× 58 1.1× 15 683

Countries citing papers authored by Alos Diallo

Since Specialization
Citations

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

Fields of papers citing papers by Alos Diallo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alos Diallo

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

All Works

19 of 19 papers shown
1.
Saberzadeh-Ardestani, Bahar, Zhenglong Liu, Christy E. Trussoni, et al.. (2025). Spatially Resolved, Multiregion Proteomics for Prediction of Immunotherapy Outcome in Deficient Mismatch Repair Metastatic Colorectal Cancer. Clinical Cancer Research. 31(9). 1783–1795. 3 indexed citations
2.
Diallo, Alos, Gokul Raghavendra Srinivasan, Kelli B. Pointer, et al.. (2025). Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity. 444–458.
4.
Diallo, Alos, Vasanth Ravikumar, Kevin A. Cornell, et al.. (2024). Integrative co-registration of elemental imaging and histopathology for enhanced spatial multimodal analysis of tissue sections through TRACE. Bioinformatics Advances. 5(1). vbaf001–vbaf001.
5.
Diallo, Alos, Gokul Raghavendra Srinivasan, Brock C. Christensen, et al.. (2024). An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphology. Briefings in Bioinformatics. 25(6). 4 indexed citations
7.
Diallo, Alos, Tracy Punshon, Brian P. Jackson, et al.. (2024). Abstract 4949: Multimodal analysis of metals, spatial transcriptomics, and histological structures in colorectal cancer. Cancer Research. 84(6_Supplement). 4949–4949.
8.
Levy, Joshua, et al.. (2024). Insights to aging prediction with AI based epigenetic clocks. Epigenomics. 17(1). 49–57. 1 indexed citations
9.
Podestà, Manuel Alfredo, Cecília B. Cavazzoni, Rachel L. Clement, et al.. (2023). Stepwise differentiation of follicular helper T cells reveals distinct developmental and functional states. Nature Communications. 14(1). 7712–7712. 21 indexed citations
10.
Srinivasan, Gokul Raghavendra, Matthew LeBoeuf, Alos Diallo, et al.. (2023). Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining. 477–491. 1 indexed citations
11.
Clement, Rachel L., Joe Daccache, Alos Diallo, et al.. (2019). Follicular regulatory T cells control humoral and allergic immunity by restraining early B cell responses. Nature Immunology. 20(10). 1360–1371. 174 indexed citations
12.
Lange, Christian E., et al.. (2019). Canine papillomavirus types 1 and 2 in classical papillomas: High abundance, different morphological associations and frequent co-infections. The Veterinary Journal. 250. 1–5. 14 indexed citations
13.
Hou, Shenda, Rachel L. Clement, Alos Diallo, et al.. (2019). FoxP3 and Ezh2 regulate Tfr cell suppressive function and transcriptional program. The Journal of Experimental Medicine. 216(3). 605–620. 65 indexed citations
14.
Ramírez, Ricardo N., et al.. (2019). DNA Rchitect: an R based visualizer for network analysis of chromatin interaction data. Bioinformatics. 36(2). 644–646. 5 indexed citations
15.
Lange, Christian E., et al.. (2016). Novel canine papillomavirus type 18 found in pigmented plaques. Papillomavirus Research. 2. 159–163. 14 indexed citations
16.
Li, Shitao, Lingyan Wang, Bishi Fu, et al.. (2014). TRIM65 regulates microRNA activity by ubiquitination of TNRC6. Proceedings of the National Academy of Sciences. 111(19). 6970–6975. 68 indexed citations
17.
Reece-Hoyes, John, Carles Pons, Alos Diallo, et al.. (2013). Extensive Rewiring and Complex Evolutionary Dynamics in a C. elegans Multiparameter Transcription Factor Network. Molecular Cell. 51(1). 116–127. 69 indexed citations
18.
Bass, Juan I. Fuxman, et al.. (2013). Using networks to measure similarity between genes: association index selection. Nature Methods. 10(12). 1169–1176. 182 indexed citations
19.
Reece-Hoyes, John, Alos Diallo, Bryan R. Lajoie, et al.. (2011). Enhanced yeast one-hybrid assays for high-throughput gene-centered regulatory network mapping. Nature Methods. 8(12). 1059–1064. 92 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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