Anniina Raitila

1.6k total citations
10 papers, 801 citations indexed

About

Anniina Raitila is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Anniina Raitila has authored 10 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Anniina Raitila's work include Pituitary Gland Disorders and Treatments (6 papers), Neuroendocrine Tumor Research Advances (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Anniina Raitila is often cited by papers focused on Pituitary Gland Disorders and Treatments (6 papers), Neuroendocrine Tumor Research Advances (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Anniina Raitila collaborates with scholars based in Finland, United States and Sweden. Anniina Raitila's co-authors include Auli Karhu, Lauri A. Aaltonen, Marianthi Georgitsi, Markus J. Mäkinen, Virpi Launonen, Pia Vahteristo, Outi Vierimaa, Karoliina Tuppurainen, Ralf Paschke and Ernesto De Menis and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Oncogene.

In The Last Decade

Anniina Raitila

9 papers receiving 775 citations

Peers

Anniina Raitila

EDM

SURGE

EPIDE

Eivind Carlsen United Kingdom

Laura C. Hernández‐Ramírez United States

Shlomo Melmed United States

Emilia Ballarè Italy

Annabelle Vénisse France

Guido Tamburrano Italy

Stéphanie Espiard France

León Darío Ortiz Colombia

Stephen M. Orme United Kingdom

C Calmettes France

Eivind Carlsen United Kingdom

Anniina Raitila

550 ×0.9

EDM

194 ×0.6

SURGE

215 ×0.9

EPIDE

114 ×0.5

58 ×0.3

Citations per year, relative to Anniina Raitila Anniina Raitila (= 1×) peers Eivind Carlsen

Countries citing papers authored by Anniina Raitila

Since Specialization

Citations

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

Fields of papers citing papers by Anniina Raitila

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anniina Raitila

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

All Works

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10 of 10 papers shown

Taira, Aurora, Åsa Kolterud, Kimmo Palin, et al.. (2025). Activation of FGFR genes by genetic and epigenetic alterations in uterine leiomyomas. PubMed. 3(1). 9–9.

Heliövaara, Elina, Anniina Raitila, M-R Rautiainen, et al.. (2014). AIP inactivation leads to pituitary tumorigenesis through defective Gαi-cAMP signaling. Oncogene. 34(9). 1174–1184. 79 indexed citations

Raitila, Anniina, Heli Lehtonen, Johanna Arola, et al.. (2010). Mice with Inactivation of Aryl Hydrocarbon Receptor-Interacting Protein (Aip) Display Complete Penetrance of Pituitary Adenomas with Aberrant ARNT Expression. American Journal Of Pathology. 177(4). 1969–1976. 57 indexed citations

Raitila, Anniina, Marianthi Georgitsi, Elena Bonora, et al.. (2009). Aryl hydrocarbon receptor interacting protein mutations seem not to associate with familial non-medullary thyroid cancer. Journal of Endocrinological Investigation. 32(5). 426–429. 9 indexed citations

Heliövaara, Elina, Anniina Raitila, Virpi Launonen, et al.. (2009). The Expression of AIP-Related Molecules in Elucidation of Cellular Pathways in Pituitary Adenomas. American Journal Of Pathology. 175(6). 2501–2507. 48 indexed citations

Vierimaa, Outi, Andrea Villablanca, Andrei Alimov, et al.. (2009). Mutation analysis of MEN1, HRPT2, CASR, CDKN1B, and AIP genes in primary hyperparathyroidism patients with features of genetic predisposition. Journal of Endocrinological Investigation. 32(6). 512–518. 23 indexed citations

Raitila, Anniina, Marianthi Georgitsi, Auli Karhu, et al.. (2007). No evidence of somatic aryl hydrocarbon receptor interacting protein mutations in sporadic endocrine neoplasia. Endocrine Related Cancer. 14(3). 901–906. 40 indexed citations

Georgitsi, Marianthi, Anniina Raitila, Auli Karhu, et al.. (2007). Molecular diagnosis of pituitary adenoma predisposition caused by aryl hydrocarbon receptor-interacting protein gene mutations. Proceedings of the National Academy of Sciences. 104(10). 4101–4105. 123 indexed citations

Raitila, Anniina, Marianthi Georgitsi, Auli Karhu, et al.. (2007). Raitila, A. et al. No evidence of somatic aryl hydrocarbon receptor interacting protein mutations in sporadic endocrine neoplasia. Endocr. Relat. Cancer 14, 901-906. 14 indexed citations

10.

Vierimaa, Outi, Marianthi Georgitsi, Rainer Lehtonen, et al.. (2006). Pituitary Adenoma Predisposition Caused by Germline Mutations in the AIP Gene. Science. 312(5777). 1228–1230. 408 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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