Iivari Kleino

666 total citations
18 papers, 461 citations indexed

About

Iivari Kleino is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Iivari Kleino has authored 18 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Iivari Kleino's work include Single-cell and spatial transcriptomics (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and HER2/EGFR in Cancer Research (3 papers). Iivari Kleino is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and HER2/EGFR in Cancer Research (3 papers). Iivari Kleino collaborates with scholars based in Finland, Sweden and Germany. Iivari Kleino's co-authors include Kalle Saksela, Laura L. Elo, Tomi Suomi, Oliver Thompson, Steve J. Winder, Rebekka M. Ortiz, Ari‐Pekka J. Huovila, Michael A. Liss, Jinghuan Wang and Marita Hiipakka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Iivari Kleino

17 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iivari Kleino Finland 11 302 92 82 68 67 18 461
Mónica Martínez‐Moreno Spain 12 243 0.8× 126 1.4× 102 1.2× 31 0.5× 120 1.8× 13 474
Lucie Sengmanivong France 12 229 0.8× 70 0.8× 136 1.7× 44 0.6× 58 0.9× 15 434
Anna Dart United Kingdom 11 299 1.0× 149 1.6× 157 1.9× 70 1.0× 102 1.5× 18 589
Robin J. Marjoram United States 11 175 0.6× 161 1.8× 99 1.2× 70 1.0× 174 2.6× 12 465
Dorian Obino France 11 261 0.9× 191 2.1× 144 1.8× 52 0.8× 89 1.3× 16 513
Joshua W. Collins United States 7 337 1.1× 112 1.2× 71 0.9× 18 0.3× 127 1.9× 12 571
Florian Peters Germany 12 142 0.5× 241 2.6× 52 0.6× 72 1.1× 96 1.4× 20 478
Jian-Jiang Hao United States 14 364 1.2× 167 1.8× 253 3.1× 167 2.5× 99 1.5× 16 741
H Iioka Japan 12 504 1.7× 61 0.7× 160 2.0× 30 0.4× 104 1.6× 43 704
Yanchao Huang China 10 374 1.2× 29 0.3× 78 1.0× 31 0.5× 61 0.9× 17 482

Countries citing papers authored by Iivari Kleino

Since Specialization
Citations

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

Fields of papers citing papers by Iivari Kleino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iivari Kleino

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

All Works

18 of 18 papers shown
1.
Kleino, Iivari, António G. G. Sousa, Sami Pietilä, et al.. (2024). CellRomeR: an R package for clustering cell migration phenotypes from microscopy data. Bioinformatics Advances. 5(1). vbaf069–vbaf069.
2.
Kleino, Iivari, et al.. (2022). Optimising protein detection with fixable custom oligo‐labelled antibodies for single‐cell multi‐omics approaches. Biotechnology Journal. 17(6). e2100213–e2100213. 2 indexed citations
3.
Kleino, Iivari, et al.. (2022). Computational solutions for spatial transcriptomics. Computational and Structural Biotechnology Journal. 20. 4870–4884. 63 indexed citations
4.
Heikkilä, Nelli, et al.. (2021). Characterization of human T cell receptor repertoire data in eight thymus samples and four related blood samples. SHILAP Revista de lepidopterología. 35. 106751–106751. 4 indexed citations
5.
Hetemäki, Iivo, Saila Laakso, Hannamari Välimaa, et al.. (2021). Patients with autoimmune polyendocrine syndrome type 1 have an increased susceptibility to severe herpesvirus infections. Clinical Immunology. 231. 108851–108851. 26 indexed citations
6.
Heikkilä, Nelli, et al.. (2020). Human thymic T cell repertoire is imprinted with strong convergence to shared sequences. Molecular Immunology. 127. 112–123. 12 indexed citations
7.
Vakkilainen, Svetlana, Iivari Kleino, Jarno Honkanen, et al.. (2020). The Safety and Efficacy of Live Viral Vaccines in Patients With Cartilage-Hair Hypoplasia. Frontiers in Immunology. 11. 2020–2020. 7 indexed citations
8.
Kleino, Iivari, Eliisa Kekäläinen, & Tapio Lönnberg. (2020). The Conjugation of Antibodies for the Simultaneous Detection of Surface Proteins and Transcriptome Analysis at a Single-Cell Level. Methods in molecular biology. 2184. 31–45. 3 indexed citations
9.
Kazlauskas, Arūnas, Constanze Schmotz, Tapio Kesti, et al.. (2016). Large-Scale Screening of Preferred Interactions of Human Src Homology-3 (SH3) Domains Using Native Target Proteins as Affinity Ligands. Molecular & Cellular Proteomics. 15(10). 3270–3281. 8 indexed citations
10.
Abbruzzese, Genevieve, Lilian Kaufmann, Hélène Cousin, et al.. (2015). The Wnt receptor Frizzled-4 modulates ADAM13 metalloprotease activity. Journal of Cell Science. 128(6). 1139–49. 10 indexed citations
11.
Kleino, Iivari, Annika Järviluoma, Jussi Hepojoki, A.-P.J. Huovila, & Kalle Saksela. (2015). Preferred SH3 Domain Partners of ADAM Metalloproteases Include Shared and ADAM-Specific SH3 Interactions. PLoS ONE. 10(3). e0121301–e0121301. 19 indexed citations
12.
Joseph, R, Iivari Kleino, Thomas E. Wales, et al.. (2013). Activation Loop Dynamics Determine the Different Catalytic Efficiencies of B Cell– and T Cell–Specific Tec Kinases. Science Signaling. 6(290). ra76–ra76. 27 indexed citations
13.
Kleino, Iivari, et al.. (2009). Alternative splicing of ADAM15 regulates its interactions with cellular SH3 proteins. Journal of Cellular Biochemistry. 108(4). 877–885. 19 indexed citations
14.
Thompson, Oliver, Christopher Moore, Sadaf‐Ahmahni Hussain, et al.. (2009). Modulation of cell spreading and cell-substrate adhesion dynamics by dystroglycan. Journal of Cell Science. 123(1). 118–127. 50 indexed citations
15.
Thompson, Oliver, et al.. (2008). Dystroglycan, Tks5 and Src Mediated Assembly of Podosomes in Myoblasts. PLoS ONE. 3(11). e3638–e3638. 57 indexed citations
16.
Aitio, Olli, Maarit Hellman, Tapio Kesti, et al.. (2008). Structural Basis of PxxDY Motif Recognition in SH3 Binding. Journal of Molecular Biology. 382(1). 167–178. 32 indexed citations
17.
Kleino, Iivari, Rebekka M. Ortiz, & Ari‐Pekka J. Huovila. (2007). ADAM15 gene structure and differential alternative exon use in human tissues. BMC Molecular Biology. 8(1). 90–90. 24 indexed citations
18.
Kärkkäinen, Satu, Marita Hiipakka, Jinghuan Wang, et al.. (2005). Identification of preferred protein interactions by phage‐display of the human Src homology‐3 proteome. EMBO Reports. 7(2). 186–191. 98 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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