Auriole Tamegnon

596 total citations
8 papers, 128 citations indexed

About

Auriole Tamegnon is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Auriole Tamegnon has authored 8 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Auriole Tamegnon's work include Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Single-cell and spatial transcriptomics (2 papers). Auriole Tamegnon is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Single-cell and spatial transcriptomics (2 papers). Auriole Tamegnon collaborates with scholars based in United States, Mexico and Peru. Auriole Tamegnon's co-authors include Cara Haymaker, Edwin R. Parra, Ignacio I. Wistuba, Luisa M. Solis, Mei Jiang, Jiexin Zhang, Renganayaki Pandurengan, J. Jack Lee, Barbara Mino and Sharia Hernandez and has published in prestigious journals such as Nature Communications, Scientific Reports and Cancers.

In The Last Decade

Auriole Tamegnon

8 papers receiving 127 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Auriole Tamegnon United States 5 67 60 42 20 17 8 128
Caddie Laberiano-Fernández United States 7 77 1.1× 51 0.8× 58 1.4× 24 1.2× 34 2.0× 15 158
Karma Dacosta United States 6 99 1.5× 85 1.4× 29 0.7× 19 0.9× 7 0.4× 13 157
Khalid AbdulJabbar United Kingdom 7 41 0.6× 36 0.6× 37 0.9× 22 1.1× 9 0.5× 9 112
Soren Charmsaz United States 8 103 1.5× 61 1.0× 73 1.7× 24 1.2× 12 0.7× 15 184
Mariia Bilous Switzerland 5 50 0.7× 41 0.7× 40 1.0× 17 0.8× 9 0.5× 6 109
Tobias Hoch Switzerland 2 89 1.3× 101 1.7× 90 2.1× 14 0.7× 49 2.9× 4 200
Jasmine A. McQuerry United States 7 90 1.3× 49 0.8× 65 1.5× 21 1.1× 6 0.4× 10 167
Fabienne Lucas United States 8 51 0.8× 60 1.0× 68 1.6× 5 0.3× 8 0.5× 22 192
Manon van der Ploeg Netherlands 6 103 1.5× 76 1.3× 67 1.6× 20 1.0× 3 0.2× 11 177
Rachel Ambler United Kingdom 6 67 1.0× 62 1.0× 52 1.2× 21 1.1× 6 0.4× 7 129

Countries citing papers authored by Auriole Tamegnon

Since Specialization
Citations

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

Fields of papers citing papers by Auriole Tamegnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Auriole Tamegnon

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

All Works

8 of 8 papers shown
1.
Laberiano-Fernández, Caddie, Qiong Gan, Auriole Tamegnon, et al.. (2024). Exploratory pilot study to characterize the immune landscapes of malignant pleural effusions and their corresponding primary tumors from patients with breast carcinoma and lung adenocarcinoma. Journal of the American Society of Cytopathology. 13(3). 161–173. 1 indexed citations
2.
Solórzano, José Luis, Edwin R. Parra, Luisa M. Solis, et al.. (2024). Multiplex spatial analysis reveals increased CD137 expression and m-MDSC neighboring tumor cells in refractory classical Hodgkin Lymphoma. OncoImmunology. 13(1). 2388304–2388304. 1 indexed citations
4.
Parra, Edwin R., Jiexin Zhang, Mei Jiang, et al.. (2023). Immune cellular patterns of distribution affect outcomes of patients with non-small cell lung cancer. Nature Communications. 14(1). 2364–2364. 22 indexed citations
5.
Laberiano-Fernández, Caddie, Juliana Machado‐Rugolo, Auriole Tamegnon, et al.. (2023). The Immunological Landscape of M1 and M2 Macrophages and Their Spatial Distribution in Patients with Malignant Pleural Mesothelioma. Cancers. 15(21). 5116–5116. 1 indexed citations
6.
Parra, Edwin R., María C. Ferrufino‐Schmidt, Auriole Tamegnon, et al.. (2021). Immuno-profiling and cellular spatial analysis using five immune oncology multiplex immunofluorescence panels for paraffin tumor tissue. Scientific Reports. 11(1). 8511–8511. 25 indexed citations
7.
Parra, Edwin R., Jie Zhai, Auriole Tamegnon, et al.. (2021). Identification of distinct immune landscapes using an automated nine-color multiplex immunofluorescence staining panel and image analysis in paraffin tumor tissues. Scientific Reports. 11(1). 4530–4530. 30 indexed citations
8.
Parra, Edwin R., Mei Jiang, Luisa M. Solis, et al.. (2020). Procedural Requirements and Recommendations for Multiplex Immunofluorescence Tyramide Signal Amplification Assays to Support Translational Oncology Studies. Cancers. 12(2). 255–255. 44 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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