J.M.H. Preuss

24 total papers · 595 total citations
22 papers, 489 citations indexed

About

J.M.H. Preuss is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, J.M.H. Preuss has authored 22 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Physiology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in J.M.H. Preuss's work include Nitric Oxide and Endothelin Effects (8 papers), Receptor Mechanisms and Signaling (8 papers) and Neuropeptides and Animal Physiology (8 papers). J.M.H. Preuss is often cited by papers focused on Nitric Oxide and Endothelin Effects (8 papers), Receptor Mechanisms and Signaling (8 papers) and Neuropeptides and Animal Physiology (8 papers). J.M.H. Preuss collaborates with scholars based in Australia, United Kingdom and Germany. J.M.H. Preuss's co-authors include Roy G. Goldie, Clive Page, Kevin R. Holme, D.J. Tyrrell, Paul Rigby, Peter J. Henry, Glenn J. Self, R.G. Goldie, Lynette Fernandes and James W. Paterson and has published in prestigious journals such as British Journal of Pharmacology, Biochemical Pharmacology and European Journal of Pharmacology.

In The Last Decade

J.M.H. Preuss

22 papers receiving 466 citations

Author Peers

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

Author						Papers	Cites
J.M.H. Preuss	217	136	123	76	72	22	489
Anthony M. Fletcher	105 0.5×	198 1.5×	82 0.7×	57 0.8×	49 0.7×	13	498
Masami Kishi	115 0.5×	142 1.0×	180 1.5×	43 0.6×	20 0.3×	21	525
James P. Noveral	269 1.2×	199 1.5×	151 1.2×	18 0.2×	35 0.5×	13	549
T Harris	232 1.1×	147 1.1×	120 1.0×	18 0.2×	27 0.4×	23	511
Weiping Qiu	81 0.4×	226 1.7×	59 0.5×	36 0.5×	25 0.3×	16	439
Tarik Hadi	86 0.4×	160 1.2×	157 1.3×	20 0.3×	19 0.3×	20	545
T Tanaka	199 0.9×	219 1.6×	52 0.4×	13 0.2×	40 0.6×	24	471
Gianfranco De Dominicis	120 0.6×	160 1.2×	67 0.5×	18 0.2×	33 0.5×	27	430
Nami Masumoto	87 0.4×	212 1.6×	53 0.4×	20 0.3×	97 1.3×	25	477
J E Barker	253 1.2×	237 1.7×	67 0.5×	8 0.1×	41 0.6×	15	501

Countries citing papers authored by J.M.H. Preuss

Since Specialization

Citations

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

Fields of papers citing papers by J.M.H. Preuss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M.H. Preuss. 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 J.M.H. Preuss. The network helps show where J.M.H. Preuss may publish in the future.

Co-authorship network of co-authors of J.M.H. Preuss

This figure shows the co-authorship network connecting the top 25 collaborators of J.M.H. Preuss. A scholar is included among the top collaborators of J.M.H. Preuss 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 J.M.H. Preuss. J.M.H. Preuss 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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