Tamir Ellis

16 total papers · 720 total citations
15 papers, 572 citations indexed

About

Tamir Ellis is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Tamir Ellis has authored 15 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Surgery and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Tamir Ellis's work include Diabetes and associated disorders (5 papers), Diabetes Management and Research (4 papers) and Pancreatic function and diabetes (4 papers). Tamir Ellis is often cited by papers focused on Diabetes and associated disorders (5 papers), Diabetes Management and Research (4 papers) and Pancreatic function and diabetes (4 papers). Tamir Ellis collaborates with scholars based in United States, Australia and France. Tamir Ellis's co-authors include Mark A. Atkinson, Terence R. Flotte, Kye Chesnut, Jianming Wang, Sihong Song, Barry J. Byrne, Amy Poirier, Nicholas Muzyczka, Mark Brantly and Michael Morgan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Diabetes Care.

In The Last Decade

Tamir Ellis

14 papers receiving 549 citations

Author Peers

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

Author						Papers	Cites
Tamir Ellis	322	212	107	94	80	15	572
H Y Naim	284 0.9×	258 1.2×	81 0.8×	162 1.7×	61 0.8×	21	679
Rachel R. Higgins	128 0.4×	258 1.2×	55 0.5×	178 1.9×	112 1.4×	23	577
Susan Feeney	71 0.2×	266 1.3×	55 0.5×	130 1.4×	124 1.6×	19	691
Niina Lietzén	105 0.3×	295 1.4×	62 0.6×	129 1.4×	37 0.5×	16	516
Cody Fine	275 0.9×	113 0.5×	129 1.2×	62 0.7×	87 1.1×	14	610
F. Joisel	151 0.5×	98 0.5×	54 0.5×	41 0.4×	158 2.0×	24	557
K Hioki	119 0.4×	236 1.1×	62 0.6×	88 0.9×	121 1.5×	29	698
Halyna Marusyk	124 0.4×	269 1.3×	26 0.2×	141 1.5×	104 1.3×	26	679
Daniela M. Faust	105 0.3×	354 1.7×	199 1.9×	39 0.4×	161 2.0×	23	687
R. B. Johnson	111 0.3×	98 0.5×	38 0.4×	154 1.6×	176 2.2×	30	541

Countries citing papers authored by Tamir Ellis

Since Specialization

Citations

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

Fields of papers citing papers by Tamir Ellis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamir Ellis

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