L. R. Nielsen

575 citations
22 papers · 453 indexed · h-index 15

L. R. Nielsen

22 papers receiving 437 citations

Peers

L. R. Nielsen
Comparison fields: 5 of 49
  • Agronomy and Crop Science 190
  • Small Animals 91
  • Food Science 218
  • Endocrinology 51
  • Microbiology 34
Replace Boris Habrun with:
Boris Habrun Croatia
Michela Tarantino Italy
Francesco Casalinuovo Italy
Alexandra von Altrock Germany
Bibi Uhre Nielsen Denmark
Xiaobo Wen China
J.A. Ameh Nigeria
Amely Campe Germany
Roberta M. Dwyer United States
Roberto Condoleo Italy
L. R. Nielsen relative to Boris Habrun Croatia Boris Habrun's profile →
Citations per field
00.5×1.5×2.5×
Boris Habrun · 1×
Citations per year

Countries citing papers authored by L. R. Nielsen

Since Specialization
Citations

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

Fields of papers citing papers by L. R. Nielsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201719
2 20152
3 20151
4 201416
5 201334
6 201220
7 201233
8 201231
9 201219
10 201116
11 201113
12 201025
13 201014
14 200921
15 200822
16
Estimation of infection transmission parameters for Salmonella Dublin in young dairy calves.
20061
17 200510
18 200467
19
Risk factors for becoming a persistent carrier of Salmonella Dublin in infected dairy herds.
20041
20 199037

About L. R. Nielsen

L. R. Nielsen is a scholar working on Agronomy and Crop Science, Small Animals and Food Science, having authored 22 papers that have together received 453 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (12 papers), Animal Disease Management and Epidemiology (11 papers), Microbial infections and disease research (4 papers), Animal Behavior and Welfare Studies (4 papers), Animal Nutrition and Physiology (3 papers), Parasite Biology and Host Interactions (3 papers), Parasitic infections in humans and animals (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Agronomy and Crop Science (190 citations), Small Animals (91 citations) and Food Science (218 citations). L. R. Nielsen has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Annette Kjær Ersbøll, Lis Alban, Y.T. Gröhn, Y.H. Schukken, Anne Braad Kudahl, Nils Toft, J. Dahl, Hans Houe, Søren Østergaard and Ian R. Dohoo. Their work appears in journals such as American Journal of Epidemiology, Journal of Dairy Science and Journal of Applied Microbiology.

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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