Rainer Machauer

1.1k citations
20 papers · 660 indexed · h-index 15

Impact in

Papers in

Rainer Machauer

20 papers receiving 651 citations

Peers

Rainer Machauer
Comparison fields: 5 of 71
  • Computational Theory and Mathematics 225
  • Pharmacology 149
  • Physiology 216
  • Organic Chemistry 189
  • Molecular Biology 311
Replace Chanki Ha with:
Chanki Ha United States
Wei‐Hui Wu China
Sharan K. Bagal United Kingdom
Aleksandra Živković Germany
Paulina González United States
Jung‐Mi Hah South Korea
Iwan Gunawan United States
Gabriella Ortore Italy
Małgorzata Rózga Poland
Kiyoko Suzuki Japan
Rainer Machauer relative to Chanki Ha United States Chanki Ha's profile →
Citations per field
00.5×2.6×
Chanki Ha · 1×
Citations per year

Countries citing papers authored by Rainer Machauer

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Machauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Rainer Machauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rainer Machauer Line = papers co-authored together Rainer Machauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202111
2 202125
3 201918
4 201920
5 201810
6 201742
7 201651
8 201649
9 201592
10 20141
11 201322
12 201282
13 200924
14 200944
15 200941
16 200455
17 200426
18 200129
19 20007
20 200011

About Rainer Machauer

Rainer Machauer is a scholar working on Computational Theory and Mathematics, Physiology, Oncology, Molecular Biology and Urology, having authored 20 papers that have together received 660 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Alzheimer's disease research and treatments (8 papers), Drug Transport and Resistance Mechanisms (6 papers), Chemical Synthesis and Analysis (5 papers), Receptor Mechanisms and Signaling (3 papers), Click Chemistry and Applications (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Synthetic Organic Chemistry Methods (2 papers). The work is most often cited by research in Computational Theory and Mathematics (225 citations), Pharmacology (149 citations), Physiology (216 citations), Organic Chemistry (189 citations) and Molecular Biology (311 citations). Rainer Machauer has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Ulf Neumann, Stephen F. Martin, Matthias Staufenbiel, Jean‐Michel Rondeau, Herbert Waldmann, Heinrich Rueeger, Laura H. Jacobson, Marina Tintelnot‐Blomley, Jehrod Brenneman and Sandrine Desrayaud. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Alzheimer s & Dementia and Scientific Reports.

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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