Nikolai Netuschil

8 total papers · 659 total citations
8 papers, 490 citations indexed

About

Nikolai Netuschil is a scholar working on Immunology, Molecular Biology and Cell Biology. According to data from OpenAlex, Nikolai Netuschil has authored 8 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Nikolai Netuschil's work include T-cell and B-cell Immunology (4 papers), Invertebrate Immune Response Mechanisms (3 papers) and Aquaculture disease management and microbiota (2 papers). Nikolai Netuschil is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Invertebrate Immune Response Mechanisms (3 papers) and Aquaculture disease management and microbiota (2 papers). Nikolai Netuschil collaborates with scholars based in Germany, United States and Singapore. Nikolai Netuschil's co-authors include Isabell Hess, Thomas Boehm, Michael Schorpp, Cristian Soza‐Ried, Yik Y. L. Yu, Lonnie Lybarger, Ted H. Hansen, Janet M. Connolly, Christiane Happe and Hans‐Georg Rammensee and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Nikolai Netuschil

8 papers receiving 485 citations

Author Peers

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

Author						Papers	Cites
Nikolai Netuschil	321	177	106	61	29	8	490
André Engling	204 0.6×	237 1.3×	108 1.0×	71 1.2×	40 1.4×	10	516
Marisa F. Naujokas	233 0.7×	201 1.1×	99 0.9×	39 0.6×	28 1.0×	10	444
Larry Robert Peters	210 0.7×	142 0.8×	143 1.3×	56 0.9×	28 1.0×	6	417
Elena Caveggion	238 0.7×	166 0.9×	69 0.7×	63 1.0×	55 1.9×	10	443
Alexander J. Finn	230 0.7×	226 1.3×	70 0.7×	65 1.1×	47 1.6×	7	506
Louise McNeill	356 1.1×	180 1.0×	133 1.3×	56 0.9×	31 1.1×	8	545
Laura I. Salazar‐Fontana	311 1.0×	146 0.8×	57 0.5×	91 1.5×	26 0.9×	10	492
Maria‐Cristina Seminario	299 0.9×	218 1.2×	44 0.4×	69 1.1×	15 0.5×	13	489
William A. Comrie	309 1.0×	93 0.5×	129 1.2×	87 1.4×	10 0.3×	9	467
Mariam Sofi	309 1.0×	151 0.9×	46 0.4×	80 1.3×	66 2.3×	9	545

Countries citing papers authored by Nikolai Netuschil

Since Specialization

Citations

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

Fields of papers citing papers by Nikolai Netuschil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolai Netuschil

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