Anna K. Johnson

3.1k total citations
153 papers, 2.1k citations indexed

About

Anna K. Johnson is a scholar working on Small Animals, Animal Science and Zoology and Genetics. According to data from OpenAlex, Anna K. Johnson has authored 153 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Small Animals, 98 papers in Animal Science and Zoology and 33 papers in Genetics. Recurrent topics in Anna K. Johnson's work include Animal Behavior and Welfare Studies (120 papers), Animal Nutrition and Physiology (62 papers) and Meat and Animal Product Quality (50 papers). Anna K. Johnson is often cited by papers focused on Animal Behavior and Welfare Studies (120 papers), Animal Nutrition and Physiology (62 papers) and Meat and Animal Product Quality (50 papers). Anna K. Johnson collaborates with scholars based in United States, United Kingdom and Canada. Anna K. Johnson's co-authors include Kenneth J. Stalder, Locke A. Karriker, Suzanne T. Millman, Gary W. Daughdrill, Celeste J. Brown, John J. McGlone, Monique Pairis‐Garcia, Johann F. Coetzee, J. Morrow-Tesch and Edmond A. Pajor and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Anna K. Johnson

144 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna K. Johnson United States 24 1.3k 1.0k 426 254 226 153 2.1k
S.D. Eicher United States 27 871 0.7× 1.2k 1.2× 248 0.6× 411 1.6× 200 0.9× 71 2.0k
Sam Millet Belgium 29 933 0.7× 1.4k 1.4× 240 0.6× 204 0.8× 315 1.4× 151 2.6k
R. Geers Belgium 29 1.3k 1.0× 1.6k 1.6× 269 0.6× 247 1.0× 149 0.7× 139 2.4k
Roy N. Kirkwood Australia 28 1.3k 1.0× 1.1k 1.0× 530 1.2× 729 2.9× 315 1.4× 185 2.6k
Flaviana Gottardo Italy 31 1.4k 1.1× 1.2k 1.2× 631 1.5× 789 3.1× 146 0.6× 128 2.5k
David Renaudeau France 27 1.2k 0.9× 2.3k 2.2× 326 0.8× 259 1.0× 203 0.9× 87 2.7k
S. J. Moeller United States 23 377 0.3× 1.1k 1.1× 541 1.3× 363 1.4× 224 1.0× 78 1.7k
L. Faucitano Canada 34 1.6k 1.3× 2.5k 2.4× 303 0.7× 246 1.0× 174 0.8× 111 2.9k
Laura Menchetti Italy 25 451 0.4× 611 0.6× 370 0.9× 259 1.0× 219 1.0× 132 1.9k
J.G.M. Houdijk United Kingdom 30 1.3k 1.0× 1.2k 1.2× 224 0.5× 407 1.6× 232 1.0× 107 2.4k

Countries citing papers authored by Anna K. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Anna K. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna K. Johnson. 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 Anna K. Johnson. The network helps show where Anna K. Johnson may publish in the future.

Co-authorship network of co-authors of Anna K. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Anna K. Johnson. A scholar is included among the top collaborators of Anna K. Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna K. Johnson. Anna K. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Siegford, Janice M., et al.. (2025). Precision livestock farming usage among a subset of U.S. swine producers: Insights through a structural equation modeling approach. Smart Agricultural Technology. 10. 100839–100839. 4 indexed citations
3.
Gabler, Nicholas K, et al.. (2022). The Use of Attractants to Stimulate Neonatal Piglet Interest in Rope Enrichment. Animals. 12(2). 211–211. 2 indexed citations
4.
Johnson, Anna K., Chris Rademacher, Nicholas K Gabler, et al.. (2021). Innovative strategies for managing swine welfare during the COVID-19 pandemic in Iowa. Translational Animal Science. 5(4). txab225–txab225. 4 indexed citations
5.
Johnson, Anna K., et al.. (2021). Drinker to nursery pig ratio: Drinking behavior, aggression, and drinker location preference over 2 days. Journal of Swine Health and Production. 29(2). 81–89. 1 indexed citations
6.
Hines, Elizabeth A, et al.. (2020). Measuring birth weight and umbilical cord diameter at birth to predict subsequent performance in swine. Translational Animal Science. 5(1). txaa214–txaa214. 7 indexed citations
7.
Johnson, Anna K., Antón García, Locke A. Karriker, & Kenneth J. Stalder. (2020). Sow Lateral Toe Growth and Lesion Presence on Hooves When Housed in Gestation Stalls. 4(2). 7. 4 indexed citations
8.
Johnson, Anna K., et al.. (2020). Comparison of Heat Lamps and Heat Mats in the Farrowing House: Effect on Piglet Production, Energy Usage and Piglet and Sow Behavior through Digital Observation. Iowa State University Digital Repository (Iowa State University). 5(5). 18–26. 2 indexed citations
10.
Johnson, Anna K., et al.. (2020). Comparison of heat lamps and heat mats in the farrowing house: effect on piglet production, energy use, and piglet and sow behavior through live observation. Journal of Swine Health and Production. 28(4). 205–212. 4 indexed citations
11.
Díaz, Julia Adriana Calderón, et al.. (2019). Dynamic space utilization for lame and non-lame gestating sows estimated by the lying-standing sequence. Livestock Science. 223. 1–7. 4 indexed citations
12.
Díaz, Julia Adriana Calderón, et al.. (2018). Determining the Time Required to Detect Induced Sow Lameness Using an Embedded Microcomputer-Based Force Plate System. American Journal of Animal and Veterinary Sciences. 13(2). 59–65. 7 indexed citations
13.
Robinson, Amanda L., Elizabeth A Hines, Leo L. Timms, et al.. (2016). The effect of antiseptic compounds on umbilical cord healing in piglets in a commercial facility. Journal of Swine Health and Production. 24(4). 212–215. 4 indexed citations
14.
Weimer, Shawna, et al.. (2014). Comparison of nursery pig behavior assessed using human observation and digital-image evaluation methodologies. Journal of Swine Health and Production. 22(3). 116–124. 2 indexed citations
15.
Johnson, Anna K., et al.. (2014). Establishing Bedding Requirements on Trailers Transporting Market Weight Pigs in Warm Weather. Animals. 4(3). 476–493. 7 indexed citations
16.
Johnson, Anna K., et al.. (2014). Establishing Sprinkling Requirements on Trailers Transporting Market Weight Pigs in Warm and Hot Weather. Animals. 4(2). 164–183. 4 indexed citations
17.
Stalder, Kenneth J., et al.. (2008). Developing and utilizing visual tools to assist pork producers in employee training in the evaluation of sow body condition. Iowa State University Digital Repository (Iowa State University). 46(2). 1–3. 1 indexed citations
18.
Johnson, Anna K.. (2008). Setting the farm animal welfare scene in North America. SHILAP Revista de lepidopterología. 2(1). 57–69. 1 indexed citations
19.
Dybkjær, Laila, David R. Carlson, Ulrich Heid, et al.. (1998). The disc approach to spoken language systems development and evaluation. Language Resources and Evaluation. 185–190. 9 indexed citations
20.
Andersson, Laura A., Anna K. Johnson, & Julian A. Peterson. (1997). Active Site Analysis of P450 Enzymes: Comparative Magnetic Circular Dichroism Spectroscopy. Archives of Biochemistry and Biophysics. 345(1). 79–87. 10 indexed citations

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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