L. Cl. Schulz
Impact in
- Microbiology top 5%
- Microbial infections and disease research
-
- Complement system in diseases
Papers in
- Microbiology 10
- Microbial infections and disease research 10
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- Streptococcal Infections and Treatments 5
- Co-authors
- W. Hermanns (10 shared papers)H. Deicher (1 shared paper)W. Drommer (8 shared papers)Daniëlle M. Gerlag (1 shared paper)Paul P. Tak (1 shared paper)M. Sanders (1 shared paper)Huibert J. Dinant (1 shared paper)Marjolein Vinkenoog (1 shared paper)
- Journals
- Archives of Toxicology (2 papers)Lara D. Veeken (1 paper)Reproduction (1 paper)Journal of Cancer Research and Clinical Oncology (1 paper)Histochemistry and Cell Biology (1 paper)
- Partner nations
- GermanyNetherlandsAustria
In The Last Decade
L. Cl. Schulz
37 papers receiving 404 citations
Peers
Comparison fields: 5 of 76
- Microbiology 73
- Immunology 149
- Equine 10
- Rheumatology 84
- Small Animals 35
Countries citing papers authored by L. Cl. Schulz
This map shows the geographic impact of L. Cl. Schulz'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 L. Cl. Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Cl. Schulz more than expected).
Fields of papers citing papers by L. Cl. Schulz
This network shows the impact of papers produced by L. Cl. Schulz. 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 L. Cl. Schulz. The network helps show where L. Cl. Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside L. Cl. Schulz, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 135 | |
| 2 | 1981 | 55 | |
| 3 | Arthritis: Models and Mechanisms | 1981 | 35 |
| 4 | 1983 | 26 | |
| 5 | 1986 | 24 | |
| 6 | 1975 | 19 | |
| 7 | 1975 | 19 | |
| 8 | 1985 | 18 | |
| 9 | 1964 | 10 | |
| 10 | 1985 | 10 | |
| 11 | 1969 | 10 | |
| 12 | 1983 | 9 | |
| 13 | 1973 | 8 | |
| 14 | 1981 | 8 | |
| 15 | 1981 | 7 | |
| 16 | 1958 | 7 | |
| 17 | 1977 | 7 | |
| 18 | 1981 | 6 | |
| 19 | 1980 | 6 | |
| 20 | 1983 | 6 |
About L. Cl. Schulz
L. Cl. Schulz is a scholar working on Microbiology, Public Health, Environmental and Occupational Health, Agronomy and Crop Science, Parasitology and Small Animals, having authored 40 papers that have together received 469 indexed citations. Recurring topics across this work include Microbial infections and disease research (10 papers), Streptococcal Infections and Treatments (5 papers), Reproductive Physiology in Livestock (5 papers), Vector-borne infectious diseases (4 papers), Animal health and immunology (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Coccidia and coccidiosis research (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Microbiology (73 citations), Immunology (149 citations), Equine (10 citations), Rheumatology (84 citations) and Small Animals (35 citations). L. Cl. Schulz has collaborated with scholars based in Germany, Netherlands and Austria. Frequent co-authors include W. Hermanns, H. Deicher, W. Drommer, Daniëlle M. Gerlag, Paul P. Tak, M. Sanders, Huibert J. Dinant, Marjolein Vinkenoog, Tom Smeets and Clarissa E. Vergunst. Their work appears in journals such as Archives of Toxicology, Lara D. Veeken, Reproduction, Journal of Cancer Research and Clinical Oncology and Histochemistry and Cell 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.