Siv Garrod

12 total papers · 513 total citations
12 papers, 430 citations indexed

About

Siv Garrod is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Siv Garrod has authored 12 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Materials Chemistry. Recurrent topics in Siv Garrod's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Enzyme Structure and Function (2 papers) and RNA and protein synthesis mechanisms (2 papers). Siv Garrod is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Enzyme Structure and Function (2 papers) and RNA and protein synthesis mechanisms (2 papers). Siv Garrod collaborates with scholars based in United States and France. Siv Garrod's co-authors include Susan S. Taylor, Virgil L. Woods, Sean Bell, Wes Yonemoto, Ganesh Iyer, John I. Lew, Nursen Çoruh, Michael S. Deal, Igor F. Tsigelny and Jie Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Siv Garrod

12 papers receiving 425 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Siv Garrod	367	94	66	37	30	12	430
Bettina Elshorst	361 1.0×	81 0.9×	61 0.9×	45 1.2×	59 2.0×	18	416
Dietmar Leitner	424 1.2×	78 0.8×	66 1.0×	35 0.9×	22 0.7×	15	465
Holger Schmid	275 0.7×	61 0.6×	41 0.6×	44 1.2×	24 0.8×	15	457
Ganesh Iyer	326 0.9×	175 1.9×	53 0.8×	23 0.6×	31 1.0×	12	398
Tao Xie	275 0.7×	77 0.8×	32 0.5×	28 0.8×	28 0.9×	18	452
Natalya Kurochkina	311 0.8×	90 1.0×	47 0.7×	24 0.6×	26 0.9×	23	408
Benjamin K. Mueller	360 1.0×	41 0.4×	39 0.6×	29 0.8×	23 0.8×	11	442
Marc Hoemberger	285 0.8×	80 0.9×	24 0.4×	21 0.6×	22 0.7×	8	373
Mads Nygaard	291 0.8×	33 0.4×	49 0.7×	16 0.4×	22 0.7×	11	422
Saliha Ece Acuner	335 0.9×	55 0.6×	43 0.7×	23 0.6×	85 2.8×	10	453

Countries citing papers authored by Siv Garrod

Since Specialization

Citations

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

Fields of papers citing papers by Siv Garrod

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siv Garrod

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

All Works

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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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