J. J. Weening

916 citations
12 papers · 403 indexed · h-index 6

Impact in

Papers in

J. J. Weening

9 papers receiving 371 citations

Peers

J. J. Weening
Comparison fields: 5 of 72
  • Nephrology 119
  • Transplantation 19
  • Cardiology and Cardiovascular Medicine 71
  • Immunology 53
  • Pediatrics, Perinatology and Child Health 47
Replace Dong Won Lee with:
Dong Won Lee South Korea
P Escartín Spain
Nirupama Chandel United States
Satoshi Yoshino Japan
Alba Carrea Italy
José Carlos Rodríguez-Pérez Spain
Ingrid Domke Germany
Ana Paula Lucas Mota Brazil
Rivka Lederman United States
Amira F. Gohara United States
J. J. Weening relative to Dong Won Lee South Korea Dong Won Lee's profile →
Citations per field
00.5×1.5×2.5×
Dong Won Lee · 1×
Citations per year

Countries citing papers authored by J. J. Weening

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Weening

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. J. Weening, 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 J. J. Weening Line = papers co-authored together J. J. Weening links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20150
2 20150
3 20150
4
Acute renal failure caused by Klebsiella pneumoniae pyelonephritis.
20013
5 20003
6
Apoptotic tubular cell death during acute renal allograft rejection.
199834
7
Characterization of a rat glomerular visceral epithelial cell line.
199638
8 199411
9 19881
10
Analysis of renal structural and functional features in two rat strains with a different susceptibility to glomerular sclerosis.
198674
11 198211
12 1980228

About J. J. Weening

J. J. Weening is a scholar working on Nephrology, Gastroenterology, Immunology and Allergy, Pathology and Forensic Medicine and Genetics, having authored 12 papers that have together received 403 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (4 papers), Glycosylation and Glycoproteins Research (1 paper), Dialysis and Renal Disease Management (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Urinary Tract Infections Management (1 paper), Erythrocyte Function and Pathophysiology (1 paper), Peripheral Artery Disease Management (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Nephrology (119 citations), Transplantation (19 citations), Cardiology and Cardiovascular Medicine (71 citations), Immunology (53 citations) and Pediatrics, Perinatology and Child Health (47 citations). J. J. Weening has collaborated with scholars based in Netherlands, Denmark and North Macedonia. Frequent co-authors include AbJ.M. Donker, Marten S. Schilthuis, Joris Grond, J. D. Elema, Jukka Reivinen, Jan Aten, Rob J. Rentenaar, Aaro Miettinen, Peter C. Wever and Gerrit Koopman. Their work appears in journals such as Diabetologia, Nephrology Dialysis Transplantation, The Lancet, Contributions to nephrology and Fibrinolysis and Proteolysis.

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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