E. R. LAX

60 total papers · 458 total citations
45 papers, 386 citations indexed

About

E. R. LAX is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology and Genetics. According to data from OpenAlex, E. R. LAX has authored 45 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Endocrinology, Diabetes and Metabolism, 16 papers in Cell Biology and 13 papers in Genetics. Recurrent topics in E. R. LAX's work include Hormonal Regulation and Hypertension (24 papers), Hormonal and reproductive studies (20 papers) and Aldose Reductase and Taurine (15 papers). E. R. LAX is often cited by papers focused on Hormonal Regulation and Hypertension (24 papers), Hormonal and reproductive studies (20 papers) and Aldose Reductase and Taurine (15 papers). E. R. LAX collaborates with scholars based in Germany. E. R. LAX's co-authors include Herbert Schriefers, Rüdiger Ghraf, E. Kreuzfelder, Allan B. Peetz, Karlheinz Voigt, Martin Herrmann, Peter Baumann, W. C. Wagner, Helmut Thomas and Dieter Müller‐Enoch and has published in prestigious journals such as Endocrinology, European Journal of Biochemistry and Journal of Chromatography A.

In The Last Decade

E. R. LAX

42 papers receiving 355 citations

Author Peers

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

Author						Papers	Cites
E. R. LAX	260	99	98	82	82	45	386
V. Graef	145 0.6×	90 0.9×	54 0.6×	35 0.4×	111 1.4×	48	384
S. Sulimovici	150 0.6×	59 0.6×	58 0.6×	54 0.7×	151 1.8×	31	406
J. Osterman	207 0.8×	49 0.5×	18 0.2×	59 0.7×	120 1.5×	25	386
Max‐Fernand Jayle	125 0.5×	77 0.8×	22 0.2×	78 1.0×	129 1.6×	27	378
Kyutaro Shimizu	220 0.8×	20 0.2×	146 1.5×	71 0.9×	222 2.7×	26	426
Annekathrin M. Keiler	96 0.4×	43 0.4×	102 1.0×	66 0.8×	133 1.6×	40	391
Ming-Yi Zhou	225 0.9×	16 0.2×	38 0.4×	53 0.6×	109 1.3×	20	444
Sham L. Pahuja	125 0.5×	37 0.4×	26 0.3×	159 1.9×	126 1.5×	20	416
S Sampérez	243 0.9×	30 0.3×	17 0.2×	143 1.7×	117 1.4×	44	394
A.F. Burton	122 0.5×	31 0.3×	23 0.2×	73 0.9×	119 1.5×	29	383

Countries citing papers authored by E. R. LAX

Since Specialization

Citations

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

Fields of papers citing papers by E. R. LAX

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. R. LAX. 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 E. R. LAX. The network helps show where E. R. LAX may publish in the future.

Co-authorship network of co-authors of E. R. LAX

This figure shows the co-authorship network connecting the top 25 collaborators of E. R. LAX. A scholar is included among the top collaborators of E. R. LAX 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 E. R. LAX. E. R. LAX 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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