Rainis Venta

825 total citations
10 papers, 585 citations indexed

About

Rainis Venta is a scholar working on Cell Biology, Molecular Biology and Oncology. According to data from OpenAlex, Rainis Venta has authored 10 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cell Biology, 8 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Rainis Venta's work include Microtubule and mitosis dynamics (9 papers), Cancer-related Molecular Pathways (5 papers) and Fungal and yeast genetics research (4 papers). Rainis Venta is often cited by papers focused on Microtubule and mitosis dynamics (9 papers), Cancer-related Molecular Pathways (5 papers) and Fungal and yeast genetics research (4 papers). Rainis Venta collaborates with scholars based in Estonia, United States and Italy. Rainis Venta's co-authors include Mart Loog, Ervin Valk, Mardo Kõivomägi, Martin Lepiku, David O. Morgan, Mihkel Örd, Seth M. Rubin, Eva Rose M. Balog, Ilona Faustova and Kaidi Möll and has published in prestigious journals such as Nature, Nature Communications and Molecular Cell.

In The Last Decade

Rainis Venta

10 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rainis Venta Estonia	10	506	319	132	94	31	10	585
Neil T. Umbreit United States	12	671 1.3×	515 1.6×	63 0.5×	172 1.8×	16 0.5×	16	825
Dimitriya H. Garvanska Denmark	10	404 0.8×	236 0.7×	63 0.5×	30 0.3×	22 0.7×	15	450
Lucia Sironi Germany	6	889 1.8×	663 2.1×	81 0.6×	96 1.0×	9 0.3×	8	973
Claudio Alfieri United Kingdom	12	717 1.4×	478 1.5×	106 0.8×	111 1.2×	5 0.2×	15	810
Marcel Tanudji Australia	13	507 1.0×	123 0.4×	74 0.6×	88 0.9×	13 0.4×	14	577
Michele H. Jones United States	12	747 1.5×	452 1.4×	45 0.3×	145 1.5×	22 0.7×	19	820
Jungseog Kang United States	11	696 1.4×	413 1.3×	115 0.9×	158 1.7×	8 0.3×	16	770
Brian E Snydsman United States	8	535 1.1×	240 0.8×	38 0.3×	92 1.0×	16 0.5×	8	581
M. Teresa Bertran Spain	9	492 1.0×	441 1.4×	82 0.6×	60 0.6×	6 0.2×	11	579
Andreas Uldschmid Germany	7	635 1.3×	666 2.1×	120 0.9×	131 1.4×	9 0.3×	7	764

Countries citing papers authored by Rainis Venta

Since Specialization

Citations

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

Fields of papers citing papers by Rainis Venta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainis Venta

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

Venta, Rainis, Ervin Valk, Mihkel Örd, et al.. (2020). A processive phosphorylation circuit with multiple kinase inputs and mutually diversional routes controls G1/S decision. Nature Communications. 11(1). 1836–1836. 15 indexed citations

Örd, Mihkel, Kaidi Möll, Ilona Faustova, et al.. (2020). Proline-Rich Motifs Control G2-CDK Target Phosphorylation and Priming an Anchoring Protein for Polo Kinase Localization. Cell Reports. 31(11). 107757–107757. 19 indexed citations

Örd, Mihkel, Rainis Venta, Kaidi Möll, Ervin Valk, & Mart Loog. (2019). Cyclin-Specific Docking Mechanisms Reveal the Complexity of M-CDK Function in the Cell Cycle. Molecular Cell. 75(1). 76–89.e3. 47 indexed citations

Örd, Mihkel, Kaidi Möll, Ilona Faustova, et al.. (2019). Multisite phosphorylation code of CDK. Nature Structural & Molecular Biology. 26(7). 649–658. 60 indexed citations

Saare, Mario, Rainis Venta, Maire Pihlap, et al.. (2015). SP140L, an Evolutionarily Recent Member of the SP100 Family, Is an Autoantigen in Primary Biliary Cirrhosis. Journal of Immunology Research. 2015. 1–17. 19 indexed citations

Venta, Rainis, et al.. (2014). Multistep phosphorylation systems: tunable components of biological signaling circuits. Molecular Biology of the Cell. 25(22). 3456–3460. 29 indexed citations

Kõivomägi, Mardo, Mihkel Örd, Ervin Valk, et al.. (2013). Multisite phosphorylation networks as signal processors for Cdk1. Nature Structural & Molecular Biology. 20(12). 1415–1424. 97 indexed citations

Venta, Rainis, Ervin Valk, Mardo Kõivomägi, & Mart Loog. (2012). Double-negative feedback between S-phase cyclin-CDK and CKI generates abruptness in the G1/S switch. Frontiers in Physiology. 3. 459–459. 9 indexed citations

Kõivomägi, Mardo, Ervin Valk, Rainis Venta, et al.. (2011). Dynamics of Cdk1 Substrate Specificity during the Cell Cycle. Molecular Cell. 42(5). 610–623. 120 indexed citations

10.

Kõivomägi, Mardo, Ervin Valk, Rainis Venta, et al.. (2011). Cascades of multisite phosphorylation control Sic1 destruction at the onset of S phase. Nature. 480(7375). 128–131. 170 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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