Max Dobler

2.6k citations
60 papers · 2.0k indexed · h-index 25

Max Dobler

60 papers receiving 1.8k citations

Peers

Max Dobler
Comparison fields: 5 of 105
  • Computational Theory and Mathematics 614
  • Spectroscopy 445
  • Organic Chemistry 526
  • Pharmacology 153
  • Bioengineering 83
Replace Seung Joo Cho with:
Seung Joo Cho South Korea
Derek P. Reynolds United Kingdom
Joachim K. Seydel Germany
N. Van Opdenbosch
Charles Pidgeon United States
Pietro Cozzini Italy
Stefanie Bendels Switzerland
Randy M. Wadkins United States
Manfred E. Wolff United States
Craig E. Caufield United States
Max Dobler relative to Seung Joo Cho South Korea Seung Joo Cho's profile →
Citations per field
00.5×1.5×2.4×
Seung Joo Cho · 1×
Citations per year

Countries citing papers authored by Max Dobler

Since Specialization
Citations

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

Fields of papers citing papers by Max Dobler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201485
2 201288
3 200650
4 200546
5
Internet laboratory for predicting harmful effects triggered by drugs and chemicals--a progress report.
20032
6 200068
7 199835
8 199840
9 19921
10 199011
11 198913
12 198912
13 198822
14 198620
15 19855
16 198218
17 19818
18 19809
19 197726
20 196012

About Max Dobler

Max Dobler is a scholar working on Spectroscopy, Computational Theory and Mathematics, Bioengineering, Organic Chemistry and Pharmacology, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Analytical Chemistry and Chromatography (15 papers), Receptor Mechanisms and Signaling (11 papers), Chemical Synthesis and Analysis (10 papers), Microbial Natural Products and Biosynthesis (8 papers), Synthetic Organic Chemistry Methods (7 papers), Molecular Sensors and Ion Detection (6 papers) and Pharmacogenetics and Drug Metabolism (5 papers). The work is most often cited by research in Computational Theory and Mathematics (614 citations), Spectroscopy (445 citations), Organic Chemistry (526 citations), Pharmacology (153 citations) and Bioengineering (83 citations). Max Dobler has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Angelo Vedani, Markus A. Lill, Albert Eschenmoser, Martin Smieško, Peter Zbinden, Martin Egli, Daniel R. McMasters, Zhenquan Hu, W. Keller‐Schierlein and Paolo Lubini. Their work appears in journals such as Helvetica Chimica Acta, Journal of Medicinal Chemistry, Journal of the American Chemical Society, CHIMIA International Journal for Chemistry and Basic & Clinical Pharmacology & Toxicology.

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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