Iris Kingma

1.8k citations
39 papers · 1.4k · h-index 21

Impact in

  • Nephrology top 2%
    • Dialysis and Renal Disease Management
  • Hematology top 5%
    • Erythropoietin and Anemia Treatment
    • Iron Metabolism and Disorders

Papers in

Iris Kingma

39 papers receiving 1.3k citations

Peers

Iris Kingma
Comparison fields: 5 of 84
  • Nephrology 372
  • Hematology 350
  • Cardiology and Cardiovascular Medicine 685
  • Transplantation 58
  • Physiology 227
Replace B Redaelli with:
B Redaelli Italy
Hiroki Hase Japan
Roberto Palla Italy
GJ Navis Netherlands
Silke Herrlinger Germany
Paola Boccardo Italy
Ernesto Paoletti Italy
Gerald A. Posen Canada
Ezio Movilli Italy
Daniele Taccola Italy
Iris Kingma relative to B Redaelli Italy B Redaelli's profile →
Citations per field
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Citations per year

Countries citing papers authored by Iris Kingma

Since Specialization
Citations

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

Fields of papers citing papers by Iris Kingma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000318
2 1983154
3 1985103
4 200281
5 199850
6 199339
7 199839
8 199437
9 199936
10 198436
11 200635
12 199735
13 199933
14 198732
15 198632
16 198631
17 199829
18 198724
19 200022
20 199021

About Iris Kingma

Iris Kingma is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Surgery, Nephrology and Hematology, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (10 papers), Nitric Oxide and Endothelin Effects (9 papers), Erythropoietin and Anemia Treatment (8 papers), Hemodynamic Monitoring and Therapy (5 papers), Pericarditis and Cardiac Tamponade (5 papers), Dialysis and Renal Disease Management (5 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Nephrology (372 citations), Hematology (350 citations), Cardiology and Cardiovascular Medicine (685 citations), Transplantation (58 citations) and Physiology (227 citations). Iris Kingma has collaborated with scholars based in Canada, Australia and South Africa. Frequent co-authors include Eldon R. Smith, John V. Tyberg, John H. Grose, Otto A. Smiseth, Marcel Lebel, Michael A. Frais, Simon Langlois, Richard Larivière, George A. Wells and Janet Morgan. Their work appears in journals such as Circulation, Clinical and Experimental Hypertension, Journal of the American Society of Nephrology, Canadian Journal of Physiology and Pharmacology and American Journal of Hypertension.

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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