Marcus Bauser

1.7k citations
38 papers · 1.4k · h-index 21

Impact in

Papers in

Marcus Bauser

34 papers receiving 1.3k citations

Peers

Marcus Bauser
Comparison fields: 5 of 83
  • Cancer Research 325
  • Molecular Biology 469
  • Hematology 91
  • Genetics 58
  • Computational Theory and Mathematics 100
Replace Dean C. Singleton with:
Dean C. Singleton New Zealand
Michael I. Walton United Kingdom
Kumar Sanjiv Sweden
Yong Zhu China
Paresma Patel United States
Nikolaus Krall Switzerland
Melissa Millard United States
Kanami Yamazaki Japan
Zhijun Kang United States
John Sensintaffar United States
Marcus Bauser relative to Dean C. Singleton New Zealand Dean C. Singleton's profile →
Citations per field
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Dean C. Singleton · 1×
Citations per year

Countries citing papers authored by Marcus Bauser

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Bauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016239
2 2019186
3 2017104
4 201893
5 200466
6 201452
7 202249
8 201747
9 201744
10 201642
11 201440
12 201838
13 199836
14 200436
15 202136
16 201733
17 201328
18 201827
19 202026
20 201623

About Marcus Bauser

Marcus Bauser is a scholar working on Molecular Biology, Cancer Research, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Organic Chemistry, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (8 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Computational Drug Discovery Methods (6 papers), Synthesis and biological activity (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Lanthanide and Transition Metal Complexes (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Cancer Research (325 citations), Molecular Biology (469 citations), Hematology (91 citations), Genetics (58 citations) and Computational Theory and Mathematics (100 citations). Marcus Bauser has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Hölger Siebeneicher, Roland Neuhaus, Hartmut Rehwinkel, Thomas H. Müller, Iring Heisler, Bernd Buchmann, Arwed Cleve, Markus Berger, Ashley L. Eheim and Claudia Merz. Their work appears in journals such as Journal of Medicinal Chemistry, ChemMedChem, Bioorganic & Medicinal Chemistry Letters, Journal of Nuclear Medicine and Investigative Radiology.

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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