Iñigo Landa

6.3k citations
46 papers · 3.0k indexed · 1 hit paper · h-index 24
Topics
Thyroid Cancer Diagnosis and Treatment (32 papers)BRCA gene mutations in cancer (13 papers)Cancer-related Molecular Pathways (12 papers)
Partner nations
United StatesSpainItaly

In The Last Decade

Iñigo Landa

46 papers receiving 3.0k citations

Hit Papers

Genomic and transcriptomic hallmarks of poorly differenti...20162026201920222016250500750

Peers

Iñigo Landa
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 1.9k
  • Molecular Biology 1.0k
  • Oncology 983
  • Genetics 602
  • Cancer Research 406
Replace Todd G. Kroll with:
Todd G. Kroll United States
Lin Pei United States
Minjing Zou Saudi Arabia
Corinne M. Silva United States
Joshua Klopper United States
Prashant Bavi Saudi Arabia
Donald J. Vander Griend United States
Cristina Montero‐Conde Spain
Vasily Vasko United States
Roberto E. Favoni Italy
Iñigo Landa relative to Todd G. Kroll United States Todd G. Kroll's profile →
Citations per field
00.5×9.2×
Todd G. Kroll · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 16
3 12
4 6
5 52
6 33
7 177
8 130
9 12
10 34
11 71
12 94
13
Genomic and transcriptomic hallmarks of poorly differentiated and anaplastic thyroid cancersbreakdown →
862
14 99
15 337
16 21
17 37
18 25
19 106
20 28

About Iñigo Landa

Iñigo Landa is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Genetics, having authored 46 papers that have together received 3.0k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (32 papers), BRCA gene mutations in cancer (13 papers) and Cancer-related Molecular Pathways (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Oncology (983 citations) and Cancer Research (406 citations). Iñigo Landa has collaborated with scholars based in United States, Spain and Italy. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature reviews. Cancer.

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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