Peter P. Mager

953 citations
88 papers · 697 indexed · h-index 13
Topics
Computational Drug Discovery Methods (28 papers)Analytical Chemistry and Chromatography (14 papers)Spectroscopy and Chemometric Analyses (11 papers)
Partner nations
GermanyCzechiaHungary

In The Last Decade

Peter P. Mager

85 papers receiving 655 citations

Peers

Peter P. Mager
Comparison fields: 5 of 122
  • Molecular Biology 216
  • Computational Theory and Mathematics 126
  • Cellular and Molecular Neuroscience 109
  • Physiology 108
  • Organic Chemistry 90
Replace Grace Chiang with:
Grace Chiang United States
Aileen E. Boyd United States
Gregory A. Weiland United States
Devrishi Goswami United States
Alejandro Giorgetti Italy
Martin Wild United Kingdom
Kurt Kristiansen Norway
Sangeeta Nath India
Frank J. Lebeda United States
Hugues‐Olivier Bertrand France
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Citations per field
00.5×
Grace Chiang · 1×
Citations per year

Countries citing papers authored by Peter P. Mager

Since Specialization
Citations

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

Fields of papers citing papers by Peter P. Mager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter P. Mager. 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 Peter P. Mager. The network helps show where Peter P. Mager may publish in the future.

Co-authorship network of co-authors of Peter P. Mager

This figure shows the co-authorship network connecting the top 25 collaborators of Peter P. Mager. A scholar is included among the top collaborators of Peter P. Mager 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 Peter P. Mager. Peter P. Mager is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 7
3 4
4 1
5 40
6 16
7 4
8 20
9 26
10 1
11 1
12 6
13 20
14 5
15 9
16 6
17 2
18 3
19 1
20
一連の強力ベンゾジアゼピンきっ抗薬,β‐カルボリン化合物に応用されたFree‐Wilson法
3

About Peter P. Mager

Peter P. Mager is a scholar working on Computational Theory and Mathematics, Physiology and Analytical Chemistry, having authored 88 papers that have together received 697 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (28 papers), Analytical Chemistry and Chromatography (14 papers) and Spectroscopy and Chemometric Analyses (11 papers). The work is most often cited by research in Physiology (108 citations), Virology (44 citations) and Computational Theory and Mathematics (126 citations). Peter P. Mager has collaborated with scholars based in Germany, Czechia and Hungary. Frequent co-authors include Péter Illés, Tibor Harkany, Wolfgang Härtig, Robert Reinhardt, Chyon‐Hwa Yeh, Patrik Ernfors, Márton B. Dobszay, Kyle M. Sousa, Tamäs J. Görcs and Paul Berghuis. Their work appears in journals such as Journal of Neuroscience, Technometrics and Biometrics.

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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