L. L. Spruyt

425 citations
10 papers · 376 indexed · h-index 8
Topics
T-cell and B-cell Immunology (5 papers)Immune Cell Function and Interaction (4 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)

In The Last Decade

L. L. Spruyt

9 papers receiving 369 citations

Peers

L. L. Spruyt
Comparison fields: 5 of 53
  • Immunology 270
  • Molecular Biology 93
  • Radiology, Nuclear Medicine and Imaging 88
  • Oncology 53
  • Immunology and Allergy 51
Replace Katherine R. Bull with:
Katherine R. Bull United Kingdom
C C Ting United States
John R. Weber United States
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L. L. Spruyt relative to Katherine R. Bull United Kingdom Katherine R. Bull's profile →
Citations per field
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Citations per year

Countries citing papers authored by L. L. Spruyt

Since Specialization
Citations

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

Fields of papers citing papers by L. L. Spruyt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. L. Spruyt

This figure shows the co-authorship network connecting the top 25 collaborators of L. L. Spruyt. A scholar is included among the top collaborators of L. L. Spruyt 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 L. L. Spruyt. L. L. Spruyt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 37
2 17
3 196
4 46
5
A prospective study of long-term use of amikacin in a paediatrics department. Indications, administration, side-effects, bacterial isolates and resistance.
5
6 36
7
Therapeutic monitoring as an aid in rationalizing aminoglycoside dosage techniques in the neonate.
0
8
Immunoreactive digitalis-like substance in pre-eclampsia.
9
9
Endogenous immunoreactive digitalis-like substance in neonatal serum and placental extracts.
14
10
The possible role of endogenous digitalis-like substance in the causation of pre-eclampsia.
16

About L. L. Spruyt

L. L. Spruyt is a scholar working on Immunology, Clinical Biochemistry and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 376 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology (270 citations), Immunology and Allergy (51 citations) and Radiology, Nuclear Medicine and Imaging (88 citations). L. L. Spruyt has collaborated with scholars based in United Kingdom and South Africa. Frequent co-authors include Albertus D. Beyers, Abigail Williams, M J Glennie, Debbie A. Law, David J. Paterson, Alan F. Williams, Albert D. Beyers, D. P. Parkin, H J Odendaal and Glenda Durrheim. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Trends in 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.

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