Hanno Sjuts

25 total papers · 892 total citations
13 papers, 681 citations indexed

About

Hanno Sjuts is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Rheumatology. According to data from OpenAlex, Hanno Sjuts has authored 13 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Rheumatology. Recurrent topics in Hanno Sjuts's work include Porphyrin Metabolism and Disorders (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Protein purification and stability (3 papers). Hanno Sjuts is often cited by papers focused on Porphyrin Metabolism and Disorders (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Protein purification and stability (3 papers). Hanno Sjuts collaborates with scholars based in Germany, United Kingdom and Czechia. Hanno Sjuts's co-authors include Karl Fisher, Mark S. Dunstan, David Leys, Stephen E. J. Rigby, K.A.P. Payne, Sam Hay, Klaas M. Pos, Colin Levy, Carolina Paz Quezada and Attilio V. Vargiu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Hanno Sjuts

13 papers receiving 671 citations

Author Peers

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

Author						Papers	Cites
Hanno Sjuts	294	257	130	102	74	13	681
Stefan Siemann	229 0.8×	205 0.8×	62 0.5×	81 0.8×	100 1.4×	36	723
Jos J. A. G. Kamps	310 1.1×	165 0.6×	40 0.3×	83 0.8×	70 0.9×	21	651
J. Spencer	236 0.8×	559 2.2×	74 0.6×	151 1.5×	133 1.8×	10	679
Thammaiah Viswanatha	278 0.9×	188 0.7×	56 0.4×	77 0.8×	69 0.9×	31	593
W. Rhys‐Williams	296 1.0×	75 0.3×	72 0.6×	48 0.5×	106 1.4×	28	637
Fernanda Ely	344 1.2×	61 0.2×	118 0.9×	43 0.4×	56 0.8×	19	577
Kieran S. Hadler	281 1.0×	74 0.3×	131 1.0×	25 0.2×	34 0.5×	18	608
J.M. Mata	279 0.9×	240 0.9×	27 0.2×	263 2.6×	58 0.8×	8	770
Cheryl K. Lau	308 1.0×	90 0.4×	36 0.3×	28 0.3×	59 0.8×	16	756
Kenneth Scott McKeegan	326 1.1×	173 0.7×	34 0.3×	58 0.6×	83 1.1×	10	628

Countries citing papers authored by Hanno Sjuts

Since Specialization

Citations

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

Fields of papers citing papers by Hanno Sjuts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanno Sjuts

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