Tiago Amado

571 total citations
9 papers, 402 citations indexed

About

Tiago Amado is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Tiago Amado has authored 9 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Tiago Amado's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (3 papers). Tiago Amado is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (3 papers). Tiago Amado collaborates with scholars based in Portugal, Germany and United Kingdom. Tiago Amado's co-authors include Bruno Silva‐Santos, Anita Quintal Gomes, Swadhin Chandra Jana, Mónica Bettencourt‐Dias, Paulo Duarte, Nina Schmolka, Ana Pimenta-Marques, Samuel Gilberto, Nikola S. Dzhindzhev and Mariana Lince‐Faria and has published in prestigious journals such as Nature Immunology, Current Biology and Developmental Cell.

In The Last Decade

Tiago Amado

9 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tiago Amado Portugal	8	204	157	154	63	60	9	402
Ya‐Chen Liang United States	9	283 1.4×	61 0.4×	97 0.6×	39 0.6×	81 1.4×	16	402
Temesgen Fufa United States	10	229 1.1×	34 0.2×	64 0.4×	53 0.8×	44 0.7×	14	330
Aleksandra Czuchra Germany	5	294 1.4×	61 0.4×	259 1.7×	28 0.4×	23 0.4×	5	466
Benoît Chapellier France	9	317 1.6×	88 0.6×	50 0.3×	146 2.3×	34 0.6×	12	464
Marisa A. P. Baptista Sweden	11	229 1.1×	198 1.3×	87 0.6×	58 0.9×	64 1.1×	15	462
Luca Mariani Italy	9	298 1.5×	237 1.5×	26 0.2×	57 0.9×	100 1.7×	21	634
Ottaviano Serlupi‐Crescenzi Italy	10	161 0.8×	222 1.4×	21 0.1×	25 0.4×	97 1.6×	14	440
Chiara Cassioli Italy	12	153 0.8×	112 0.7×	81 0.5×	89 1.4×	54 0.9×	16	334
Paola Atzei Ireland	7	118 0.6×	153 1.0×	26 0.2×	16 0.3×	43 0.7×	9	316
R Fragoso Mexico	10	174 0.9×	116 0.7×	39 0.3×	105 1.7×	51 0.8×	18	354

Countries citing papers authored by Tiago Amado

Since Specialization

Citations

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

Fields of papers citing papers by Tiago Amado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiago Amado

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

All Works

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9 of 9 papers shown

1.

Amado, Tiago, Ana Pamplona, Daniel Sobral, et al.. (2025). Signature cytokine-associated transcriptome analysis of effector γδ T cells identifies subset-specific regulators of peripheral activation. Nature Immunology. 26(3). 497–510. 7 indexed citations

2.

Amado, Tiago, Ana Amorim, Francisco J. Enguita, et al.. (2020). MicroRNA-181a regulates IFN-γ expression in effector CD8+ T cell differentiation. Journal of Molecular Medicine. 98(2). 309–320. 23 indexed citations

3.

Wilharm, Anneke, Helena C. Brigas, Inga Sandrock, et al.. (2020). Microbiota-dependent expansion of testicular IL-17-producing Vγ6+ γδ T cells upon puberty promotes local tissue immune surveillance. Mucosal Immunology. 14(1). 242–252. 33 indexed citations

4.

Tan, Likai, Inga Sandrock, Ivan Odak, et al.. (2019). Single-Cell Transcriptomics Identifies the Adaptation of Scart1+ Vγ6+ T Cells to Skin Residency as Activated Effector Cells. Cell Reports. 27(12). 3657–3671.e4. 85 indexed citations

5.

Amado, Tiago, et al.. (2018). Control of T cell effector functions by miRNAs. Cancer Letters. 427. 63–73. 16 indexed citations

6.

Schmolka, Nina, Pedro H. Papotto, Tiago Amado, et al.. (2018). MicroRNA-146a controls functional plasticity in γδ T cells by targeting NOD1. Science Immunology. 3(23). 26 indexed citations

7.

Amado, Tiago, Nina Schmolka, Hozaifa Metwally, Bruno Silva‐Santos, & Anita Quintal Gomes. (2015). Cross‐regulation between cytokine and microRNA pathways in T cells. European Journal of Immunology. 45(6). 1584–1595. 34 indexed citations

8.

Cunha‐Ferreira, Inês, Inês Bento, Ana Pimenta-Marques, et al.. (2013). Regulation of Autophosphorylation Controls PLK4 Self-Destruction and Centriole Number. Current Biology. 23(22). 2245–2254. 101 indexed citations

9.

Carvalho-Santos, Zita, Pedro Machado, Susana Montenegro Gouveia, et al.. (2012). BLD10/CEP135 Is a Microtubule-Associated Protein that Controls the Formation of the Flagellum Central Microtubule Pair. Developmental Cell. 23(2). 412–424. 77 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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