Nina Lahdenpohja

569 total citations
9 papers, 476 citations indexed

About

Nina Lahdenpohja is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Nina Lahdenpohja has authored 9 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in Nina Lahdenpohja's work include NF-κB Signaling Pathways (6 papers), Immune Response and Inflammation (5 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Nina Lahdenpohja is often cited by papers focused on NF-κB Signaling Pathways (6 papers), Immune Response and Inflammation (5 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Nina Lahdenpohja collaborates with scholars based in Finland. Nina Lahdenpohja's co-authors include Mikko Hurme, Merja Helminen, Kimmo Savinainen, Janne Hulkkonen, Amos Pasternack, Jaakko Antonen, M. Pertovaara, Tiina Henttinen and Sanna Kilpinen and has published in prestigious journals such as The Journal of Immunology, The Journal of Infectious Diseases and Journal of Leukocyte Biology.

In The Last Decade

Nina Lahdenpohja

9 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nina Lahdenpohja Finland	9	241	106	83	78	70	9	476
Maritsa N. Tzimas United States	7	405 1.7×	166 1.6×	43 0.5×	55 0.7×	65 0.9×	9	616
Nathalie Marchand United States	11	199 0.8×	135 1.3×	75 0.9×	52 0.7×	34 0.5×	16	548
Takaaki Fukuda Japan	17	241 1.0×	175 1.7×	70 0.8×	84 1.1×	78 1.1×	52	744
Bożena Chodynicka Poland	14	361 1.5×	139 1.3×	86 1.0×	29 0.4×	59 0.8×	49	608
Charles W. Bell United States	4	290 1.2×	168 1.6×	42 0.5×	64 0.8×	30 0.4×	5	578
Helen Rager United States	11	226 0.9×	110 1.0×	131 1.6×	140 1.8×	113 1.6×	14	743
Andrea Tagwerker Austria	10	302 1.3×	119 1.1×	49 0.6×	134 1.7×	92 1.3×	11	617
Tina Rubic-Schneider Switzerland	8	286 1.2×	227 2.1×	63 0.8×	78 1.0×	73 1.0×	11	534
Y Nomoto Japan	7	96 0.4×	215 2.0×	90 1.1×	76 1.0×	116 1.7×	12	701
K Furusho Japan	11	200 0.8×	103 1.0×	63 0.8×	37 0.5×	128 1.8×	25	508

Countries citing papers authored by Nina Lahdenpohja

Since Specialization

Citations

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

Fields of papers citing papers by Nina Lahdenpohja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Lahdenpohja

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Lahdenpohja. A scholar is included among the top collaborators of Nina Lahdenpohja 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 Nina Lahdenpohja. Nina Lahdenpohja 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

Hulkkonen, Janne, M. Pertovaara, Jaakko Antonen, et al.. (2001). Genetic association between interleukin-10 promoter region polymorphisms and primary Sj�gren's syndrome. Arthritis & Rheumatism. 44(1). 176–179. 86 indexed citations

Helminen, Merja, Nina Lahdenpohja, & Mikko Hurme. (1999). Polymorphism of the Interleukin‐10 Gene Is Associated with Susceptibility to Epstein‐Barr Virus Infection. The Journal of Infectious Diseases. 180(2). 496–499. 113 indexed citations

Hurme, Mikko, et al.. (1998). Gene polymorphisms of interleukins 1 and 10 in infectious and autoimmune diseases. Annals of Medicine. 30(5). 469–473. 114 indexed citations

Lahdenpohja, Nina, Kimmo Savinainen, & Mikko Hurme. (1998). Pre-Exposure to Oxidative Stress Decreases the Nuclear Factor-κB-Dependent Transcription in T Lymphocytes. The Journal of Immunology. 160(3). 1354–1358. 53 indexed citations

Lahdenpohja, Nina & Mikko Hurme. (1998). CD28-mediated activation in CD45RA+ and CD45RO+ T cells: enhanced levels of reactive oxygen intermediates and c-Rel nuclear translocation in CD45RA+ cells. Journal of Leukocyte Biology. 63(6). 775–780. 14 indexed citations

Lahdenpohja, Nina, Kimmo Savinainen, & Mikko Hurme. (1998). Pre-exposure to oxidative stress decreases the nuclear factor-kappa B-dependent transcription in T lymphocytes.. PubMed. 160(3). 1354–8. 56 indexed citations

Lahdenpohja, Nina & Mikko Hurme. (1996). Naive (CD45RA+) T Lymphocytes Are More Sensitive to Oxidative Stress-Induced Signals Than Memory (CD45RO+) Cells. Cellular Immunology. 173(2). 282–286. 11 indexed citations

Kilpinen, Sanna, Tiina Henttinen, Nina Lahdenpohja, Janne Hulkkonen, & Mikko Hurme. (1996). Signals Leading to the Activation of NF‐κB Transcription Factor are Stronger in Neonatal than Adult T Lymphocytes. Scandinavian Journal of Immunology. 44(1). 85–88. 19 indexed citations

Lahdenpohja, Nina, Tiina Henttinen, & Mikko Hurme. (1996). Activation of the Protein Kinase A Increases the DNA‐Binding and Transcriptional Activity of c‐Rel in T Cells. Scandinavian Journal of Immunology. 43(6). 640–645. 10 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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