J.O. Almquist

2.9k total citations
111 papers, 2.1k citations indexed

About

J.O. Almquist is a scholar working on Reproductive Medicine, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, J.O. Almquist has authored 111 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Reproductive Medicine, 29 papers in Genetics and 27 papers in Public Health, Environmental and Occupational Health. Recurrent topics in J.O. Almquist's work include Sperm and Testicular Function (42 papers), Reproductive Biology and Fertility (27 papers) and Reproductive Physiology in Livestock (20 papers). J.O. Almquist is often cited by papers focused on Sperm and Testicular Function (42 papers), Reproductive Biology and Fertility (27 papers) and Reproductive Physiology in Livestock (20 papers). J.O. Almquist collaborates with scholars based in United States, Sweden and United Kingdom. J.O. Almquist's co-authors include R. P. Amann, R.J. Flipse, Mats Jirstrand, R. G. Saacke, E.B. Hale, Marija Cvijović, Felix R Wolf, Jens Nielsen, Vassily Hatzimanikatis and Deepika Thacker and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

J.O. Almquist

105 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.O. Almquist United States 24 972 619 588 581 440 111 2.1k
H. Woelders Netherlands 27 1.3k 1.4× 661 1.1× 330 0.6× 1.2k 2.0× 343 0.8× 91 2.1k
B.G. Crabo United States 26 2.4k 2.5× 488 0.8× 812 1.4× 1.7k 2.9× 328 0.7× 74 3.3k
Xavier Druart France 28 1.5k 1.5× 442 0.7× 593 1.0× 1.1k 1.8× 524 1.2× 67 2.4k
E.F. Graham United States 28 1.7k 1.8× 429 0.7× 436 0.7× 1.3k 2.3× 190 0.4× 114 2.4k
Duane L. Garner United States 28 2.8k 2.9× 1.1k 1.7× 578 1.0× 2.5k 4.3× 418 0.9× 61 3.7k
Michael K. Holland Australia 27 883 0.9× 452 0.7× 191 0.3× 874 1.5× 800 1.8× 90 2.1k
José Antônio Visintin Brazil 19 663 0.7× 334 0.5× 295 0.5× 680 1.2× 246 0.6× 89 1.2k
Christian Looft Germany 33 273 0.3× 1.2k 2.0× 473 0.8× 604 1.0× 1.4k 3.2× 85 3.3k
L. E. A. ROWSON United Kingdom 38 1.3k 1.3× 1.6k 2.6× 2.2k 3.7× 2.6k 4.5× 751 1.7× 102 4.8k
Benjamin G. Brackett United States 33 3.5k 3.6× 1.4k 2.2× 706 1.2× 4.3k 7.4× 1.1k 2.6× 117 5.2k

Countries citing papers authored by J.O. Almquist

Since Specialization
Citations

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

Fields of papers citing papers by J.O. Almquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.O. Almquist. 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 J.O. Almquist. The network helps show where J.O. Almquist may publish in the future.

Co-authorship network of co-authors of J.O. Almquist

This figure shows the co-authorship network connecting the top 25 collaborators of J.O. Almquist. A scholar is included among the top collaborators of J.O. Almquist 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 J.O. Almquist. J.O. Almquist 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.
Zhou, Xiaohong, Nicola Ferrari, Zhi Liu, et al.. (2025). A phase 1 study evaluating the safety, tolerability, and pharmacokinetics of the porcupine inhibitor, AZD5055. iScience. 28(6). 112602–112602.
2.
Ambery, Phil, Grzegorz Zając, J.O. Almquist, et al.. (2024). The effect of AZD9567 vs. prednisolone on glycaemic control in patients with type 2 diabetes mellitus: Results from a phase 2a clinical trial. British Journal of Clinical Pharmacology. 90(8). 1921–1931. 1 indexed citations
3.
Tang, Weifeng, Raj Tummala, J.O. Almquist, et al.. (2023). Clinical Pharmacokinetics, Pharmacodynamics, and Immunogenicity of Anifrolumab. Clinical Pharmacokinetics. 62(5). 655–671. 6 indexed citations
4.
Laar, Jacob M. van, J.O. Almquist, Graham Belfield, et al.. (2023). AZD9567 versus prednisolone in patients with active rheumatoid arthritis: A phase IIa, randomized, double‐blind, efficacy, and safety study. Clinical and Translational Science. 16(12). 2494–2506. 7 indexed citations
5.
Rikard, S. Michaela, Paul J. Myers, J.O. Almquist, et al.. (2021). Mathematical Model Predicts that Acceleration of Diabetic Wound Healing is Dependent on Spatial Distribution of VEGF-A mRNA (AZD8601). Cellular and Molecular Bioengineering. 14(4). 321–338. 5 indexed citations
6.
Psallidas, Ioannis, Vibeke Backer, Piotr Kuna, et al.. (2020). A Phase 2a, Double-Blind, Placebo-controlled Randomized Trial of Inhaled TLR9 Agonist AZD1419 in Asthma. American Journal of Respiratory and Critical Care Medicine. 203(3). 296–306. 17 indexed citations
7.
Almquist, J.O., et al.. (2019). Modeling long-term tumor growth and kill after combinations of radiation and radiosensitizing agents. Cancer Chemotherapy and Pharmacology. 83(6). 1159–1173. 8 indexed citations
8.
Andersson, Robert, et al.. (2018). Challenging the dose-response-time data approach: Analysis of a complex system. European Journal of Pharmaceutical Sciences. 128. 250–269. 1 indexed citations
9.
Andersson, Robert, J.O. Almquist, Mats Jirstrand, et al.. (2017). Modeling of free fatty acid dynamics: insulin and nicotinic acid resistance under acute and chronic treatments. Journal of Pharmacokinetics and Pharmacodynamics. 44(3). 203–222. 8 indexed citations
10.
Zimmermann, Astrid, et al.. (2016). Extending the Tumor Static Concentration curve to average doses - a combination therapy example using radiation therapy. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations
11.
Almquist, J.O., Mats Jirstrand, Alexandre Sostelly, et al.. (2016). Tumor Static Concentration Curves in Combination Therapy. The AAPS Journal. 19(2). 456–467. 17 indexed citations
12.
Almquist, J.O., et al.. (2015). Using sensitivity equations for computing gradients of the FOCE and FOCEI approximations to the population likelihood. Journal of Pharmacokinetics and Pharmacodynamics. 42(3). 191–209. 19 indexed citations
13.
Smedh, Maria, J.O. Almquist, Marija Cvijović, et al.. (2014). Yeast AMP-activated Protein Kinase Monitors Glucose Concentration Changes and Absolute Glucose Levels. Journal of Biological Chemistry. 289(18). 12863–12875. 30 indexed citations
14.
Almquist, J.O., Marija Cvijović, Vassily Hatzimanikatis, Jens Nielsen, & Mats Jirstrand. (2014). Kinetic models in industrial biotechnology – Improving cell factory performance. Metabolic Engineering. 24. 38–60. 218 indexed citations
16.
Almquist, J.O., Mikael Wallman, Ingemar Jacobson, & Mats Jirstrand. (2010). Modeling the Effect of Kv1.5 Block on the Canine Action Potential. Biophysical Journal. 99(9). 2726–2736. 10 indexed citations
17.
Almquist, J.O. & R. G. Thomson. (1973). Relation of Sexual Behavior and Ejaculation Frequency to Severity of Vertebral Body Osteophytes in Dairy and Beef Bulls. Journal of the American Veterinary Medical Association. 163(2). 163–168. 3 indexed citations
18.
Amann, R. P., et al.. (1963). CANNULATION OF THE BOVINE DUCTUS DEFERENS FOR QUANTITATIVE RECOVERY OF EPIDIDYMAL SPERMATOZOA. Reproduction. 6(1). 65–69. 24 indexed citations
20.
Flipse, R.J., et al.. (1956). Metabolism of Bovine Semen. III. Uptake and Metabolic Utilization of Glycerol-1-C14 by Bovine Spermatozoa. Journal of Dairy Science. 39(2). 214–218. 17 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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