Peter Felding

35 papers receiving 963 citations

Peers

Peter Felding
Comparison fields: 5 of 110
  • Statistics, Probability and Uncertainty 136
  • Nephrology 118
  • Physiology 328
  • Hematology 118
  • Statistics and Probability 56
Replace Pål Rustad with:
Pål Rustad Norway
J. W. J. van Wersch Netherlands
Fernando Cava Spain
Joan H. Howanitz United States
A. Uldall Denmark
Dana Bailey Canada
Trefor Higgins Canada
Jean‐Claude Chaput France
R J Spooner United Kingdom
E.A. Loeliger Netherlands
Peter Felding relative to Pål Rustad Norway Pål Rustad's profile →
Citations per field
00.5×1.6×
Pål Rustad · 1×
Citations per year

Countries citing papers authored by Peter Felding

Since Specialization
Citations

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

Fields of papers citing papers by Peter Felding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004323
2 200458
3 198253
4 198051
5 200449
6 200439
7 198137
8 200435
9 198532
10 200730
11 198430
12 201327
13 198026
14 198625
15 198523
16 201623
17 197422
18 199121
19 201419
20 201415

About Peter Felding

Peter Felding is a scholar working on Statistics, Probability and Uncertainty, Hematology, Internal Medicine, Rheumatology and Physiology, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (9 papers), Eosinophilic Disorders and Syndromes (5 papers), Meta-analysis and systematic reviews (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Eosinophilic Esophagitis (4 papers), Muscle metabolism and nutrition (3 papers), Diabetes Management and Research (2 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (136 citations), Nephrology (118 citations), Physiology (328 citations), Hematology (118 citations) and Statistics and Probability (56 citations). Peter Felding has collaborated with scholars based in Denmark, Sweden and Finland. Frequent co-authors include Per Hyltoft Petersen, Pål Rustad, Göran Fex, Ari Lahti, P. Simonsson, Andreas Mårtensson, Veli Kairisto, Leifur Franzson, A. Uldall and Heidi Steensland. Their work appears in journals such as Scandinavian Journal of Clinical and Laboratory Investigation, Thrombosis Research, American Journal of Hematology, Implementation Science and British Journal of Haematology.

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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