Gad Kainer

798 citations
41 papers · 520 · h-index 15

Impact in

  • Nephrology top 5%
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Renal Transplantation Outcomes and Treatments

Papers in

Gad Kainer

41 papers receiving 492 citations

Peers

Gad Kainer
Comparison fields: 5 of 79
  • Nephrology 136
  • Transplantation 39
  • Pediatrics, Perinatology and Child Health 128
  • Sensory Systems 27
  • Urology 35
Replace H Kopsa with:
H Kopsa Austria
T. J. Buselmeier United States
Jean-Paul Casez Switzerland
Carolina A. M. Kulak Brazil
Erkin Serdaroğlu Türkiye
Harun Peru Türkiye
Jean-Luc André France
Scott J. Schurman United States
P. Sallay Hungary
Jovan Milutinovic United States
Gad Kainer relative to H Kopsa Austria H Kopsa's profile →
Citations per field
00.5×4.7×
H Kopsa · 1×
Citations per year

Countries citing papers authored by Gad Kainer

Since Specialization
Citations

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

Fields of papers citing papers by Gad Kainer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201041
2 200227
3 199227
4 200426
5 199425
6 200024
7 201424
8 199123
9 198920
10 198120
11 199219
12
International Journal of Organ Transplantation Medicine
201218
13 200318
14 199916
15 199914
16 197914
17 200513
18 201012
19 200311
20 200511

About Gad Kainer

Gad Kainer is a scholar working on Pediatrics, Perinatology and Child Health, Nephrology, Pulmonary and Respiratory Medicine, Surgery and Molecular Biology, having authored 41 papers that have together received 520 indexed citations. Recurring topics across this work include Pediatric Urology and Nephrology Studies (9 papers), Renal and Vascular Pathologies (7 papers), Birth, Development, and Health (4 papers), Renal Diseases and Glomerulopathies (3 papers), Diet and metabolism studies (3 papers), Metabolism and Genetic Disorders (3 papers), Renal function and acid-base balance (3 papers) and Urological Disorders and Treatments (3 papers). The work is most often cited by research in Nephrology (136 citations), Transplantation (39 citations), Pediatrics, Perinatology and Child Health (128 citations), Sensory Systems (27 citations) and Urology (35 citations). Gad Kainer has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Andrew R. Rosenberg, Graham D. Ogle, Fiona Mackie, David G. Laing, Seán Kennedy, John W. Foreman, James C.M. Chan, Monica A. Rossleigh, David Krieser and Leigh Haysom. Their work appears in journals such as Pediatric Nephrology, Pediatric Transplantation, Pediatric Research, The Journal of Pediatrics and ˜The œNephron journals/Nephron journals.

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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