R. Bachus

792 citations
21 papers · 625 · h-index 13

Impact in

Papers in

    • Amyotrophic Lateral Sclerosis Research 7
    • Parkinson's Disease Mechanisms and Treatments 4
    • Neurological diseases and metabolism 3
    • Material Dynamics and Properties 3

R. Bachus

20 papers receiving 594 citations

Peers

R. Bachus
Comparison fields: 5 of 80
  • Fluid Flow and Transfer Processes 86
  • Toxicology 37
  • Neurology 124
  • Nuclear and High Energy Physics 90
  • Polymers and Plastics 87
Replace Takatoshi Sato with:
Takatoshi Sato Japan
Naoko Fujita Japan
M. Zoppi Italy
Mayuri Gupta Norway
Behrooz H. Yousefi Germany
Liang Tan China
A. Muralikrishna Rao United States
A.G.M. Janssen Netherlands
Steven A. Yamada United States
H. Langemann Switzerland
R. Bachus relative to Takatoshi Sato Japan Takatoshi Sato's profile →
Citations per field
00.5×11.3×
Takatoshi Sato · 1×
Citations per year

Countries citing papers authored by R. Bachus

Since Specialization
Citations

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

Fields of papers citing papers by R. Bachus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. Bachus, 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 R. Bachus Line = papers co-authored together R. Bachus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198394
2 199175
3 200568
4 198263
5 200346
6 199645
7 198544
8 199942
9 199536
10 198030
11 197926
12 200116
13 199716
14 20008
15 19957
16 19993
17
[Relaxation times and proton density of the healthy kidney and its lesions and graphic view of T2 decay].
19872
18 20032
19 19871
20 19861

About R. Bachus

R. Bachus is a scholar working on Neurology, Materials Chemistry, Organic Chemistry, Molecular Biology and Pharmacology, having authored 21 papers that have together received 625 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (7 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Material Dynamics and Properties (3 papers), Chemical synthesis and alkaloids (3 papers), Rheology and Fluid Dynamics Studies (3 papers), Neurological diseases and metabolism (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (86 citations), Toxicology (37 citations), Neurology (124 citations), Nuclear and High Energy Physics (90 citations) and Polymers and Plastics (87 citations). R. Bachus has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Rainer Kimmich, Albert C. Ludolph, T. Thomsen, Ulrich Bickel, H. Kewitz, G. Kolde, Michael Sabolek, Alexander Storch, G. Arnold and Willi Weber. Their work appears in journals such as Polymer, Pharmacogenetics and Genomics, Human Molecular Genetics, Brain Research and Acta Neuropathologica.

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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