Hansjoerg Moest

10 total papers · 865 total citations
8 papers, 622 citations indexed

About

Hansjoerg Moest is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hansjoerg Moest has authored 8 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Spectroscopy and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hansjoerg Moest's work include Advanced Proteomics Techniques and Applications (4 papers), Cancer-related molecular mechanisms research (2 papers) and MicroRNA in disease regulation (2 papers). Hansjoerg Moest is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Cancer-related molecular mechanisms research (2 papers) and MicroRNA in disease regulation (2 papers). Hansjoerg Moest collaborates with scholars based in Switzerland, Sweden and United States. Hansjoerg Moest's co-authors include Bernd Wollscheid, Andreas P. Frei, Ruedi Aebersold, Thomas Bock, Andreas Hofmann, Alice K. Jacobs, Ulrich Omasits, Damaris Bausch‐Fluck, Kenneth R. Boheler and Ferdinando Cerciello and has published in prestigious journals such as Circulation, Nature Biotechnology and PLoS ONE.

In The Last Decade

Hansjoerg Moest

8 papers receiving 610 citations

Author Peers

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

Author						Papers	Cites
Hansjoerg Moest	417	118	95	94	91	8	622
Heinz Fehlhammer	476 1.1×	60 0.5×	54 0.6×	67 0.7×	60 0.7×	9	636
Alexander Kurtenbach	401 1.0×	78 0.7×	46 0.5×	133 1.4×	52 0.6×	5	662
Umberto Restuccia	416 1.0×	77 0.7×	144 1.5×	131 1.4×	150 1.6×	14	677
Aaron S. Gajadhar	500 1.2×	94 0.8×	88 0.9×	114 1.2×	43 0.5×	17	652
Giuseppe A. Papalia	492 1.2×	27 0.2×	48 0.5×	88 0.9×	77 0.8×	14	719
ronan.ocualain not provided	233 0.6×	93 0.8×	63 0.7×	59 0.6×	68 0.7×	15	590
Stephanie M.E. Truhlar	425 1.0×	48 0.4×	87 0.9×	73 0.8×	134 1.5×	13	608
Prerna Malaney	489 1.2×	28 0.2×	114 1.2×	156 1.7×	69 0.8×	18	713
Robert Hinderer	498 1.2×	238 2.0×	50 0.5×	116 1.2×	199 2.2×	14	755
John Tra	538 1.3×	243 2.1×	40 0.4×	64 0.7×	87 1.0×	7	739

Countries citing papers authored by Hansjoerg Moest

Since Specialization

Citations

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

Fields of papers citing papers by Hansjoerg Moest

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hansjoerg Moest

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