Michael Neubauer

2.7k citations
46 papers · 1.9k · h-index 20

Impact in

Papers in

Michael Neubauer

41 papers receiving 1.8k citations

Peers

Michael Neubauer
Comparison fields: 5 of 123
  • Immunology and Allergy 132
  • Immunology 430
  • Oncology 505
  • Molecular Biology 981
  • Cellular and Molecular Neuroscience 174
Replace Naoki Kimura with:
Naoki Kimura Japan
Thang V. Pham Netherlands
Christian Stein United States
Isabelle Camby Belgium
Masaaki Adachi Japan
William S. Chen United States
Akira Tanigami Japan
Alexander Schmitz Denmark
Rainer K. Brachmann United States
S. Nakanishi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Michael Neubauer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Neubauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995323
2 1990312
3 1998168
4 1992168
5 1989167
6 1996136
7 201564
8 199261
9 199652
10 199036
11 199734
12 201233
13 198926
14 199725
15 199525
16 200922
17 199422
18 201622
19 199921
20 197720

About Michael Neubauer

Michael Neubauer is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Oncology, Management Science and Operations Research and Immunology, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include graph theory and CDMA systems (15 papers), Optimal Experimental Design Methods (9 papers), Cytokine Signaling Pathways and Interactions (5 papers), Glycosylation and Glycoproteins Research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Fungal and yeast genetics research (3 papers), Antifungal resistance and susceptibility (3 papers) and Digital Image Processing Techniques (3 papers). The work is most often cited by research in Immunology and Allergy (132 citations), Immunology (430 citations), Oncology (505 citations), Molecular Biology (981 citations) and Cellular and Molecular Neuroscience (174 citations). Michael Neubauer has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include M. Shoyab, George J. Todaro, Gregory D. Plowman, Hans Marquardt, Christine M. Distèche, Alison R. Malacko, Michael A. Bowen, X Li, J M Pesando and Brett Modrell. Their work appears in journals such as Linear Algebra and its Applications, Molecular and Cellular Biology, Journal of Biological Chemistry, Journal of Algebra and Proceedings of the American Mathematical Society.

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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