Jan Weits

43 papers receiving 784 citations

Peers

Jan Weits
Comparison fields: 5 of 70
  • Epidemiology 381
  • Obstetrics and Gynecology 107
  • Molecular Medicine 33
  • Immunology 97
  • Endocrinology 18
Replace C. J. McIver with:
C. J. McIver Australia
Angel A. Luciano United States
FRITZ B. SCHWEINBURG United States
Ivar Ørstavik Norway
Bruno Van Herendael Belgium
Özden Türel Türkiye
Saskia Kuipers Netherlands
Michael Mostert Italy
M. Michele Mariscalco United States
Jan Weits relative to C. J. McIver Australia C. J. McIver's profile →
Citations per field
00.5×2×3×4×4.6×
C. J. McIver · 1×
Citations per year

Countries citing papers authored by Jan Weits

Since Specialization
Citations

This map shows the geographic impact of Jan Weits'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 Jan Weits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Weits more than expected).

Fields of papers citing papers by Jan Weits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Weits. 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 Jan Weits. The network helps show where Jan Weits may publish in the future.

Co-authors

The 25 scholars most cited alongside Jan Weits, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Weits Line = papers co-authored together Jan Weits links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992155
2 1991142
3 1986114
4 199084
5 199370
6
Tumour necrosis factor (cachectin) and other cytokines in septic shock: a review of the literature.
199142
7 199232
8 199025
9 199119
10
Class-specific antibody titres (ELISA) against the primary immunogen Helix pomatia haemocyanin (HPH) in man.
197818
11
Cytomegalovirus Antigenemia
199015
12 199515
13 198814
14 195210
15 198010
16
Patterns of cytokines, plasma endotoxin, and acute phase proteins during the treatment of severe sepsis in humans.
19919
17 19929
18
Nutritive value and organoleptic properties of three vegetables fresh and preserved in six different ways.
19706
19 19766
20
Strongyloides stercoralis hyperinfection as a consequence of immunosuppressive treatment.
19856

About Jan Weits

Jan Weits is a scholar working on Epidemiology, Food Science, Pathology and Forensic Medicine, Hematology and Agronomy and Crop Science, having authored 49 papers that have together received 866 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (8 papers), Food and Agricultural Sciences (7 papers), Vitamin D Research Studies (6 papers), Multiple Myeloma Research and Treatments (5 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Mollusks and Parasites Studies (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Epidemiology (381 citations), Obstetrics and Gynecology (107 citations), Molecular Medicine (33 citations), Immunology (97 citations) and Endocrinology (18 citations). Jan Weits has collaborated with scholars based in Netherlands and United States. Frequent co-authors include H. G. de Vries-Hospers, VICTOR J. J. BOM, Paula O.M. Mulder, Edo Vellenga, Anthonius S. M. Dofferhoff, Hendrik Jan Houthoff, J. G. Aarnoudse, H.J. Huisjes, Herman G. Sprenger and Bouke P. C. Hazenberg. Their work appears in journals such as Scandinavian Journal of Infectious Diseases, The Lancet, BJOG An International Journal of Obstetrics & Gynaecology, Clinical Infectious Diseases and European Food Research and Technology.

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.

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