Jennifer M. Pearson

714 total citations
24 papers, 551 citations indexed

About

Jennifer M. Pearson is a scholar working on Small Animals, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Jennifer M. Pearson has authored 24 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Small Animals, 11 papers in Agronomy and Crop Science and 6 papers in Molecular Biology. Recurrent topics in Jennifer M. Pearson's work include Animal health and immunology (12 papers), Reproductive Physiology in Livestock (9 papers) and Viral gastroenteritis research and epidemiology (4 papers). Jennifer M. Pearson is often cited by papers focused on Animal health and immunology (12 papers), Reproductive Physiology in Livestock (9 papers) and Viral gastroenteritis research and epidemiology (4 papers). Jennifer M. Pearson collaborates with scholars based in Canada, United States and Egypt. Jennifer M. Pearson's co-authors include Karson S. Putt, Hua Jin, Paul J. Hergenrother, M. Claire Windeyer, Martin S. Hoagland, Myung‐Haing Cho, Mona I. Churchwell, Daniel R. Doerge, William G. Helferich and Jung‐Taek Kwon and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature Chemical Biology.

In The Last Decade

Jennifer M. Pearson

21 papers receiving 532 citations

Peers

Jennifer M. Pearson
Russell E. McDaniel United States
In Seok Yang South Korea
Eiman Mukhtar United States
E Leone Italy
Jennifer M. Pearson
Citations per year, relative to Jennifer M. Pearson Jennifer M. Pearson (= 1×) peers Nilambra Dogra

Countries citing papers authored by Jennifer M. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer M. Pearson. 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 Jennifer M. Pearson. The network helps show where Jennifer M. Pearson may publish in the future.

Co-authorship network of co-authors of Jennifer M. Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Pearson. A scholar is included among the top collaborators of Jennifer M. Pearson 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 Jennifer M. Pearson. Jennifer M. Pearson 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.
Windeyer, M. Claire, et al.. (2025). Effects of tactile stimulation and application of umbilical antiseptic on the welfare of pre-weaned beef calves. Applied Animal Behaviour Science. 285. 106583–106583. 1 indexed citations
2.
Pajor, Edmond A., et al.. (2025). Validation of proximity loggers to record proximity events among beef bulls. Translational Animal Science. 9. txaf011–txaf011.
3.
Pajor, Edmond A., et al.. (2024). Predicting main behaviors of beef bulls from accelerometer data: A machine learning framework. SHILAP Revista de lepidopterología. 9. 100683–100683.
4.
Pajor, Edmond A., et al.. (2024). 326 Relationship between activity and social interactions of beef bulls during the pre-breeding period and siring capacity in multi-sire breeding groups. Journal of Animal Science. 102(Supplement_3). 10–11. 1 indexed citations
5.
Windeyer, M. Claire, et al.. (2024). The effects of a nonsteroidal anti-inflammatory drug on the behavioural and physiological parameters of beef cows and calves assisted at calving. Applied Animal Behaviour Science. 273. 106217–106217. 1 indexed citations
6.
Windeyer, M. Claire, et al.. (2024). Economic Analysis of Calving Assistance on Western Canadian Cow-Calf Operations. Journal of Agricultural and Applied Economics. 56(2). 297–309.
7.
8.
Pearson, Jennifer M., et al.. (2023). The impact of freezing and multiple freeze-thaw cycles on Brix refractometry estimates of immunoglobulin concentration in beef cattle colostrum.. PubMed. 87(2). 146–152. 1 indexed citations
9.
Elsohaby, Ibrahim, et al.. (2020). Evaluation of 3 refractometers to determine transfer of passive immunity in neonatal beef calves. Journal of Veterinary Internal Medicine. 35(1). 632–643. 20 indexed citations
10.
Elsohaby, Ibrahim, Jennifer M. Pearson, Michel Lévy, et al.. (2020). Assessment of Brix refractometry to estimate immunoglobulin G concentration in beef cow colostrum. Journal of Veterinary Internal Medicine. 34(4). 1662–1673. 20 indexed citations
11.
Pearson, Jennifer M., et al.. (2020). Quantifying the Forces Applied During Manually and Mechanically Assisted Calvings in Beef Cattle. Frontiers in Veterinary Science. 7. 459–459. 2 indexed citations
12.
LeBlanc, Francis, Jennifer M. Pearson, Su‐Fern Tan, et al.. (2020). Sphingosine kinase‐2 is overexpressed in large granular lymphocyte leukaemia and promotes survival through Mcl‐1. British Journal of Haematology. 190(3). 405–417. 24 indexed citations
13.
Pearson, Jennifer M., Su‐Fern Tan, Arati Sharma, et al.. (2019). Ceramide Analogue SACLAC Modulates Sphingolipid Levels and MCL-1 Splicing to Induce Apoptosis in Acute Myeloid Leukemia. Molecular Cancer Research. 18(3). 352–363. 23 indexed citations
14.
Pearson, Jennifer M., Edmond A. Pajor, John Campbell, et al.. (2019). Clinical impacts of administering a nonsteroidal anti-inflammatory drug to beef calves after assisted calving on pain and inflammation, passive immunity, health, and growth. Journal of Animal Science. 97(5). 1996–2008. 19 indexed citations
15.
Pearson, Jennifer M., Edmond A. Pajor, Nigel Caulkett, et al.. (2019). Benchmarking calving management practices on western Canada cow–calf operations1. Translational Animal Science. 3(4). 1446–1459. 21 indexed citations
16.
Elsohaby, Ibrahim, M. Claire Windeyer, Deborah M. Haines, et al.. (2018). Application of transmission infrared spectroscopy and partial least squares regression to predict immunoglobulin G concentration in dairy and beef cow colostrum. Journal of Animal Science. 96(2). 771–782. 12 indexed citations
17.
Armstrong, Laura Marie, Nigel Caulkett, Søren Boysen, et al.. (2018). Assessing the Efficacy of Ventilation of Anesthetized Neonatal Calves Using a Laryngeal Mask Airway or Mask Resuscitator. Frontiers in Veterinary Science. 5. 292–292. 5 indexed citations
18.
Boroda, Salome, Robert Lawrence, Samuel Entwisle, et al.. (2017). The phosphatidic acid–binding, polybasic domain is responsible for the differences in the phosphoregulation of lipins 1 and 3. Journal of Biological Chemistry. 292(50). 20481–20493. 30 indexed citations
19.
Tan, Su‐Fern, Jennifer M. Pearson, David J. Feith, & Thomas P. Loughran. (2017). The emergence of acid ceramidase as a therapeutic target for acute myeloid leukemia. Expert Opinion on Therapeutic Targets. 21(6). 583–590. 26 indexed citations
20.
Putt, Karson S., Jennifer M. Pearson, Martin S. Hoagland, et al.. (2006). Small-molecule activation of procaspase-3 to caspase-3 as a personalized anticancer strategy. Nature Chemical Biology. 2(10). 543–550. 290 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026