Peter Schulz‐Knappe
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities 6
- Hematology top 1%
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications 24
- Mass Spectrometry Techniques and Applications 17
- Genetics top 2%
- Nutrition and Dietetics top 1%
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- Monoclonal and Polyclonal Antibodies Research 11
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- Systemic Lupus Erythematosus Research 9
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- Machine Learning in Bioinformatics 6
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- Peptidase Inhibition and Analysis 5
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- Electrolyte and hormonal disorders 5
- Co-authors
- Hans‐Jürgen MägertMichael SchraderWolf‐Georg ForssmannAlexander KrauseSusanne NeitzAxel SchulzManfred RaidaHarald Tammen
- Cited by
- MicrobiologyHematologySpectroscopy
- Journals
- Combinatorial Chemistry & High Throughput Screening (7 papers)FEBS Letters (4 papers)Annals of the Rheumatic Diseases (4 papers)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Peter Schulz‐Knappe
82 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Microbiology 789
- Hematology 966
- Spectroscopy 1.1k
- Genetics 561
- Nutrition and Dietetics 668
Countries citing papers authored by Peter Schulz‐Knappe
This map shows the geographic impact of Peter Schulz‐Knappe'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 Peter Schulz‐Knappe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Schulz‐Knappe more than expected).
Fields of papers citing papers by Peter Schulz‐Knappe
This network shows the impact of papers produced by Peter Schulz‐Knappe. 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 Peter Schulz‐Knappe. The network helps show where Peter Schulz‐Knappe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Schulz‐Knappe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 9 | |
| 2 | 2019 | 0 | |
| 3 | 2018 | 1 | |
| 4 | 2018 | 9 | |
| 5 | 2015 | 32 | |
| 6 | 2013 | 5 | |
| 7 | 2012 | 62 | |
| 8 | 2011 | 33 | |
| 9 | 2010 | 5 | |
| 10 | The Potential Role of Urinary Proteomics in the Prediction of Preeclampsia | 2008 | 1 |
| 11 | 2007 | 8 | |
| 12 | 2005 | 23 | |
| 13 | 2005 | 10 | |
| 14 | 2002 | 24 | |
| 15 | 2001 | 112 | |
| 16 | 2001 | 16 | |
| 17 | 1997 | 56 | |
| 18 | Significance of prophylactic urodilatin (INN: ularitide) infusion for the prevention of acute renal failure in patients after heart transplantation. | 1995 | 16 |
| 19 | 1995 | 57 | |
| 20 | 1988 | 204 |
About Peter Schulz‐Knappe
Peter Schulz‐Knappe is a scholar working on Spectroscopy, Microbiology and Rheumatology, having authored 84 papers that have together received 4.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (24 papers), Mass Spectrometry Techniques and Applications (17 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Systemic Lupus Erythematosus Research (9 papers), Machine Learning in Bioinformatics (6 papers), Antimicrobial Peptides and Activities (6 papers), Peptidase Inhibition and Analysis (5 papers) and Electrolyte and hormonal disorders (5 papers). The work is most often cited by research in Microbiology (789 citations), Hematology (966 citations) and Spectroscopy (1.1k citations). Peter Schulz‐Knappe has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Hans‐Jürgen Mägert, Michael Schrader, Wolf‐Georg Forssmann, Alexander Krause, Susanne Neitz, Axel Schulz, Wolf‐Georg Forssmann, Manfred Raida, Harald Tammen and Klaus W. Bensch. Their work appears in journals such as Combinatorial Chemistry & High Throughput Screening, FEBS Letters, Annals of the Rheumatic Diseases, Journal of Chromatography A and PROTEOMICS.
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.