Lambertus J.H. van Tits
- Immunology top 10%
- Surgery top 10%
- Molecular Biology
- Epidemiology top 10%
- Hematology top 5%
- Co-authors
- Anton F. H. StalenhoefWim A. BuurmanMarc H.A. BemelmansMihai G. NeteaJacqueline de GraafThomas M. van HimbergenRinke StienstraLeo A. B. Joosten
- Topics
- Paraoxonase enzyme and polymorphisms (9 papers)Lipoproteins and Cardiovascular Health (8 papers)Adipokines, Inflammation, and Metabolic Diseases (7 papers)
- Journals
- The Journal of ImmunologyThe Journal of Clinical Endocrinology & MetabolismBiochemical Journal
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Lambertus J.H. van Tits
50 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 105
- Immunology 392
- Surgery 320
- Molecular Biology 295
- Epidemiology 287
- Hematology 231
Countries citing papers authored by Lambertus J.H. van Tits
This map shows the geographic impact of Lambertus J.H. van Tits'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 Lambertus J.H. van Tits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lambertus J.H. van Tits more than expected).
Fields of papers citing papers by Lambertus J.H. van Tits
This network shows the impact of papers produced by Lambertus J.H. van Tits. 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 Lambertus J.H. van Tits. The network helps show where Lambertus J.H. van Tits may publish in the future.
Co-authorship network of co-authors of Lambertus J.H. van Tits
This figure shows the co-authorship network connecting the top 25 collaborators of Lambertus J.H. van Tits. A scholar is included among the top collaborators of Lambertus J.H. van Tits based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lambertus J.H. van Tits. Lambertus J.H. van Tits is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 35 | |
| 3 | 18 | |
| 4 | 99 | |
| 5 | 50 | |
| 6 | 10 | |
| 7 | 12 | |
| 8 | 18 | |
| 9 | 1 | |
| 10 | 36 | |
| 11 | 77 | |
| 12 | 35 | |
| 13 | 3 | |
| 14 | 16 | |
| 15 | 100 | |
| 16 | 228 | |
| 17 | 30 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 9 |
About Lambertus J.H. van Tits
Lambertus J.H. van Tits is a scholar working on Clinical Biochemistry, Biochemistry and Immunology, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Paraoxonase enzyme and polymorphisms (9 papers), Lipoproteins and Cardiovascular Health (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). The work is most often cited by research in Clinical Biochemistry (214 citations), Hematology (231 citations) and Immunology (392 citations). Lambertus J.H. van Tits has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Anton F. H. Stalenhoef, Wim A. Buurman, Marc H.A. Bemelmans, Mihai G. Netea, Jacqueline de Graaf, Thomas M. van Himbergen, Rinke Stienstra, Leo A. B. Joosten, P.L. van Lent and Dorine W. Swinkels. Their work appears in journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and Biochemical Journal.
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.