Jens Bansi

62 total papers · 986 total citations
43 papers, 665 citations indexed

About

Jens Bansi is a scholar working on Pathology and Forensic Medicine, Hematology and Rehabilitation. According to data from OpenAlex, Jens Bansi has authored 43 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pathology and Forensic Medicine, 17 papers in Hematology and 8 papers in Rehabilitation. Recurrent topics in Jens Bansi's work include Multiple Sclerosis Research Studies (33 papers), Autoimmune and Inflammatory Disorders Research (17 papers) and Tryptophan and brain disorders (6 papers). Jens Bansi is often cited by papers focused on Multiple Sclerosis Research Studies (33 papers), Autoimmune and Inflammatory Disorders Research (17 papers) and Tryptophan and brain disorders (6 papers). Jens Bansi collaborates with scholars based in Switzerland, Germany and United Kingdom. Jens Bansi's co-authors include Wilhelm Bloch, Jürg Kesselring, Philipp Zimmer, Jan Kool, Alexander Schenk, Niklas Joisten, Roman Gonzenbach, Stefan Riedel, Max Oberste and Ulrik Dalgas and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Jens Bansi

40 papers receiving 658 citations

Author Peers

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

Author						Papers	Cites
Jens Bansi	417	168	142	99	92	43	665
Vanessa Castellano	510 1.2×	259 1.5×	202 1.4×	110 1.1×	104 1.1×	15	789
M. Gottschalk	490 1.2×	88 0.5×	322 2.3×	167 1.7×	33 0.4×	15	717
Marco Heerings	443 1.1×	56 0.3×	128 0.9×	104 1.1×	13 0.1×	33	667
Carmela Leone	367 0.9×	72 0.4×	208 1.5×	130 1.3×	88 1.0×	21	720
Gesche Ketels	201 0.5×	67 0.4×	172 1.2×	143 1.4×	197 2.1×	32	698
Chao Zhao	357 0.9×	39 0.2×	56 0.4×	125 1.3×	22 0.2×	37	647
Damian Józef Flis	126 0.3×	42 0.3×	39 0.3×	106 1.1×	126 1.4×	43	634
David Walzik	133 0.3×	52 0.3×	87 0.6×	30 0.3×	150 1.6×	34	628
Thomas Mathews	417 1.0×	84 0.5×	218 1.5×	147 1.5×	118 1.3×	28	792
Kadriye Armutlu	340 0.8×	116 0.7×	267 1.9×	208 2.1×	79 0.9×	36	788

Countries citing papers authored by Jens Bansi

Since Specialization

Citations

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

Fields of papers citing papers by Jens Bansi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Bansi

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