Michel Eschenbrenner

19 total papers · 562 total citations
17 papers, 450 citations indexed

About

Michel Eschenbrenner is a scholar working on Molecular Biology, Small Animals and Endocrinology. According to data from OpenAlex, Michel Eschenbrenner has authored 17 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Small Animals and 4 papers in Endocrinology. Recurrent topics in Michel Eschenbrenner's work include Brucella: diagnosis, epidemiology, treatment (6 papers), Escherichia coli research studies (4 papers) and Amino Acid Enzymes and Metabolism (4 papers). Michel Eschenbrenner is often cited by papers focused on Brucella: diagnosis, epidemiology, treatment (6 papers), Escherichia coli research studies (4 papers) and Amino Acid Enzymes and Metabolism (4 papers). Michel Eschenbrenner collaborates with scholars based in United States, France and Argentina. Michel Eschenbrenner's co-authors include Jacques Covès, Marc Fontecave, Vito G. DelVecchio, Mary Ann Wagner, Cesar V. Mujer, Marilyn Schuman Jörns, Sue D. Hagius, Philip H. Elzer, Vincent Nivière and Guy Patra and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Michel Eschenbrenner

17 papers receiving 435 citations

Author Peers

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

Author						Papers	Cites
Michel Eschenbrenner	235	131	71	69	65	17	450
Tomoko Mizote	199 0.8×	45 0.3×	18 0.3×	28 0.4×	24 0.4×	16	467
L. Bigelow	299 1.3×	23 0.2×	35 0.5×	82 1.2×	28 0.4×	24	506
John E. Heinze	201 0.9×	121 0.9×	86 1.2×	42 0.6×	7 0.1×	26	506
Vyv Salisbury	236 1.0×	14 0.1×	64 0.9×	101 1.5×	34 0.5×	18	526
Ikuko Tomiyasu	364 1.5×	30 0.2×	76 1.1×	9 0.1×	30 0.5×	17	544
Masamiki Masui	260 1.1×	15 0.1×	68 1.0×	18 0.3×	22 0.3×	29	440
Meriyem Aktas	263 1.1×	14 0.1×	40 0.6×	15 0.2×	42 0.6×	27	452
Mehreen Anjum	267 1.1×	9 0.1×	45 0.6×	61 0.9×	79 1.2×	16	536
Ratiboot Sallabhan	230 1.0×	11 0.1×	44 0.6×	28 0.4×	36 0.6×	23	502
János Tamás Padra	184 0.8×	14 0.1×	63 0.9×	30 0.4×	41 0.6×	23	464

Countries citing papers authored by Michel Eschenbrenner

Since Specialization

Citations

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

Fields of papers citing papers by Michel Eschenbrenner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Eschenbrenner

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