Iñigo Landa

267 total papers · 6.3k total citations
46 papers, 2.9k citations indexed

About

Iñigo Landa is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Molecular Biology. According to data from OpenAlex, Iñigo Landa has authored 46 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Oncology and 15 papers in Molecular Biology. Recurrent topics in Iñigo Landa's work include Thyroid Cancer Diagnosis and Treatment (32 papers), BRCA gene mutations in cancer (13 papers) and Cancer-related Molecular Pathways (12 papers). Iñigo Landa is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (32 papers), BRCA gene mutations in cancer (13 papers) and Cancer-related Molecular Pathways (12 papers). Iñigo Landa collaborates with scholars based in United States, Spain and Italy. Iñigo Landa's co-authors include James A. Fagin, Ronald Ghossein, Ian Ganly, Tihana Ibrahimpašić, Jeffrey A. Knauf, Snjezana Doğan, Bin Xu, Mercedes Robledo, Gnana P. Krishnamoorthy and Luis J. Leandro‐García and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature reviews. Cancer.

In The Last Decade

Iñigo Landa

46 papers receiving 2.9k citations

Hit Papers

Genomic and transcriptomi... 2016 2026 2019 2022 2016 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Iñigo Landa 1.8k 1.0k 973 592 405 46 2.9k
Julio C. Ricarte‐Filho 2.3k 1.3× 830 0.8× 950 1.0× 596 1.0× 264 0.7× 28 3.1k
Rengyun Liu 1.5k 0.8× 1.2k 1.1× 731 0.8× 429 0.7× 370 0.9× 55 2.6k
Piera Mondellini 1.2k 0.7× 1.3k 1.3× 1.0k 1.0× 480 0.8× 207 0.5× 37 2.6k
Avaniyapuram Kannan Murugan 1.6k 0.9× 1.8k 1.8× 887 0.9× 522 0.9× 796 2.0× 62 3.6k
Dingxie Liu 1.5k 0.8× 1.4k 1.4× 872 0.9× 510 0.9× 358 0.9× 46 2.7k
Manoj Gandhi 2.5k 1.4× 1.2k 1.2× 1.2k 1.3× 674 1.1× 321 0.8× 32 3.4k
Raffaele Ciampi 2.3k 1.3× 1.1k 1.1× 1.1k 1.1× 613 1.0× 354 0.9× 69 3.1k
Todd G. Kroll 1.2k 0.7× 1.5k 1.5× 714 0.7× 502 0.8× 571 1.4× 23 2.8k
Efisio Puxeddu 2.0k 1.1× 1.3k 1.2× 907 0.9× 353 0.6× 257 0.6× 78 3.2k
Norisato Mitsutake 2.0k 1.1× 2.0k 1.9× 1.2k 1.3× 646 1.1× 767 1.9× 103 4.0k

Countries citing papers authored by Iñigo Landa

Since Specialization
Citations

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

Fields of papers citing papers by Iñigo Landa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iñigo Landa

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

All Works

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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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