A. Krämer
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 5%
Papers in
-
- Advanced Memory and Neural Computing 9
- CCD and CMOS Imaging Sensors 5
- Semiconductor materials and devices 5
-
- Bioinformatics and Genomic Networks 5
- Co-authors
- Jeff Green (4 shared papers)Stuart Tugendreich (4 shared papers)Jack Pollard (1 shared paper)Hans W. Horn (2 shared papers)Julia E. Rice (2 shared papers)Miodrag L. Kulić (4 shared papers)J. Lazzaro (1 shared paper)John Wawrzynek (1 shared paper)
- Journals
- Physical review. B, Condensed matter (4 papers)IEEE Micro (2 papers)Solid State Communications (2 papers)Journal of Computer-Aided Molecular Design (2 papers)Physica C Superconductivity (2 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
A. Krämer
36 papers receiving 4.2k citations
A. Krämer's Hit Papers
Peers
Comparison fields: 5 of 160
- Cancer Research 612
- Immunology 642
- Molecular Biology 2.0k
- Biological Psychiatry 72
- Neurology 200
Countries citing papers authored by A. Krämer
This map shows the geographic impact of A. Krämer'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 A. Krämer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Krämer more than expected).
Fields of papers citing papers by A. Krämer
This network shows the impact of papers produced by A. Krämer. 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 A. Krämer. The network helps show where A. Krämer may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Krämer, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Causal analysis approaches in Ingenuity Pathway Analysis Hit paper breakdown → | 2013 | 3879 |
| 2 | 2003 | 31 | |
| 3 | 1994 | 31 | |
| 4 | 2012 | 26 | |
| 5 | 1996 | 24 | |
| 6 | 1992 | 21 | |
| 7 | 2001 | 19 | |
| 8 | 1998 | 19 | |
| 9 | 1997 | 17 | |
| 10 | 1993 | 13 | |
| 11 | 1997 | 11 | |
| 12 | 2002 | 10 | |
| 13 | 1990 | 10 | |
| 14 | 2002 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 1994 | 7 | |
| 17 | 2003 | 6 | |
| 18 | 2022 | 5 | |
| 19 | Compact EEPROM-based Weight Functions | 1990 | 5 |
| 20 | 2017 | 5 |
About A. Krämer
A. Krämer is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 38 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Physics of Superconductivity and Magnetism (8 papers), Computational Drug Discovery Methods (5 papers), Neural Networks and Applications (5 papers), Theoretical and Computational Physics (5 papers), CCD and CMOS Imaging Sensors (5 papers), Semiconductor materials and devices (5 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Cancer Research (612 citations), Immunology (642 citations), Molecular Biology (2.0k citations), Biological Psychiatry (72 citations) and Neurology (200 citations). A. Krämer has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Jeff Green, Stuart Tugendreich, Jack Pollard, Hans W. Horn, Julia E. Rice, Miodrag L. Kulić, J. Lazzaro, John Wawrzynek, Sebastian Doniach and Jean-Noël Billaud. Their work appears in journals such as Physical review. B, Condensed matter, IEEE Micro, Solid State Communications, Journal of Computer-Aided Molecular Design and Physica C Superconductivity.
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.