Lars Neumann
Impact in
- Virology top 10%
- Molecular Biology top 10%
- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- RNA Interference and Gene Delivery
Papers in
-
- RNA Interference and Gene Delivery 2
- Oncology 8
- Drug Transport and Resistance Mechanisms 3
- Co-authors
- Robert Tampé (6 shared papers)Robert Huber (2 shared papers)Elisabeth V. Schneider (2 shared papers)Jark Böttcher (2 shared papers)K. Maskos (2 shared papers)N.F. van Hulst (3 shared papers)Stephan Uebel (2 shared papers)Christine Tam (1 shared paper)
- Journals
- Journal of Molecular Biology (4 papers)Nano Letters (3 papers)Biochemistry (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Communications Biology (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Lars Neumann
28 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Virology 71
- Molecular Biology 912
- Oncology 331
- Computational Theory and Mathematics 150
- Immunology 145
Countries citing papers authored by Lars Neumann
This map shows the geographic impact of Lars Neumann'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 Lars Neumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Neumann more than expected).
Fields of papers citing papers by Lars Neumann
This network shows the impact of papers produced by Lars Neumann. 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 Lars Neumann. The network helps show where Lars Neumann may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Neumann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 349 | |
| 2 | 2011 | 105 | |
| 3 | 2013 | 98 | |
| 4 | 2011 | 93 | |
| 5 | 1997 | 75 | |
| 6 | 2010 | 73 | |
| 7 | 2012 | 67 | |
| 8 | 1999 | 60 | |
| 9 | 2015 | 55 | |
| 10 | 2002 | 51 | |
| 11 | 2008 | 47 | |
| 12 | 1997 | 44 | |
| 13 | 2011 | 43 | |
| 14 | 1999 | 37 | |
| 15 | 2015 | 36 | |
| 16 | 2003 | 32 | |
| 17 | 2002 | 29 | |
| 18 | 2013 | 20 | |
| 19 | 2009 | 17 | |
| 20 | 2018 | 13 |
About Lars Neumann
Lars Neumann is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Plasmonic and Surface Plasmon Research (3 papers), Near-Field Optical Microscopy (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Lymphoma Diagnosis and Treatment (3 papers), RNA Interference and Gene Delivery (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Virology (71 citations), Molecular Biology (912 citations), Oncology (331 citations), Computational Theory and Mathematics (150 citations) and Immunology (145 citations). Lars Neumann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Robert Tampé, Robert Huber, Elisabeth V. Schneider, Jark Böttcher, K. Maskos, N.F. van Hulst, Stephan Uebel, Christine Tam, M. Blaesse and Pascal Steiner. Their work appears in journals such as Journal of Molecular Biology, Nano Letters, Biochemistry, Methods in enzymology on CD-ROM/Methods in enzymology and Communications Biology.
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.