P. Lerch
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Protease and Inhibitor Mechanisms
Papers in
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- Monoclonal and Polyclonal Antibodies Research 10
- Radiopharmaceutical Chemistry and Applications 9
- Co-authors
- Doran Je (3 shared papers)Egon E. Rickli (3 shared papers)Matt van de Rijn (6 shared papers)N.E. Miller (3 shared papers)W. Lergier (2 shared papers)Dieter Gillessen (2 shared papers)Cox Terhorst (4 shared papers)Tom van der Poll (2 shared papers)
- Journals
- Journal of Radioanalytical and Nuclear Chemistry (18 papers)Vox Sanguinis (4 papers)Circulation (3 papers)Inorganica Chimica Acta (3 papers)British Journal of Haematology (2 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
P. Lerch
74 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 119
- Endocrinology, Diabetes and Metabolism 773
- Cancer Research 483
- Immunology 672
- Clinical Biochemistry 175
- Surgery 988
Countries citing papers authored by P. Lerch
This map shows the geographic impact of P. Lerch'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 P. Lerch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Lerch more than expected).
Fields of papers citing papers by P. Lerch
This network shows the impact of papers produced by P. Lerch. 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 P. Lerch. The network helps show where P. Lerch may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Lerch, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 360 | |
| 2 | 1996 | 327 | |
| 3 | 2003 | 236 | |
| 4 | 2001 | 205 | |
| 5 | 1980 | 199 | |
| 6 | 1984 | 129 | |
| 7 | 1999 | 119 | |
| 8 | 1993 | 117 | |
| 9 | 2007 | 117 | |
| 10 | 1996 | 101 | |
| 11 | 2004 | 83 | |
| 12 | 1996 | 79 | |
| 13 | 1997 | 75 | |
| 14 | 1983 | 66 | |
| 15 | 1998 | 57 | |
| 16 | 1996 | 51 | |
| 17 | 1984 | 49 | |
| 18 | 2009 | 42 | |
| 19 | 1980 | 41 | |
| 20 | 1983 | 38 |
About P. Lerch
P. Lerch is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Radiation, Immunology and Hematology, having authored 82 papers that have together received 2.9k indexed citations. Recurring topics across this work include Nuclear Physics and Applications (12 papers), X-ray Spectroscopy and Fluorescence Analysis (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Radiopharmaceutical Chemistry and Applications (9 papers), Platelet Disorders and Treatments (9 papers), Medical Imaging and Pathology Studies (6 papers), Chemical Synthesis and Characterization (6 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (773 citations), Cancer Research (483 citations), Immunology (672 citations), Clinical Biochemistry (175 citations) and Surgery (988 citations). P. Lerch has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Doran Je, Egon E. Rickli, Matt van de Rijn, N.E. Miller, W. Lergier, Dieter Gillessen, Cox Terhorst, Tom van der Poll, Dasja Pajkrt and Reinhard Bolli. Their work appears in journals such as Journal of Radioanalytical and Nuclear Chemistry, Vox Sanguinis, Circulation, Inorganica Chimica Acta and British Journal of Haematology.
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.