Jonathan Jaeger

791 total citations
16 papers, 594 citations indexed

About

Jonathan Jaeger is a scholar working on Control and Systems Engineering, Public Health, Environmental and Occupational Health and Nutrition and Dietetics. According to data from OpenAlex, Jonathan Jaeger has authored 16 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Nutrition and Dietetics. Recurrent topics in Jonathan Jaeger's work include Reproductive Biology and Fertility (3 papers), Statistical Methods and Inference (3 papers) and Infant Nutrition and Health (3 papers). Jonathan Jaeger is often cited by papers focused on Reproductive Biology and Fertility (3 papers), Statistical Methods and Inference (3 papers) and Infant Nutrition and Health (3 papers). Jonathan Jaeger collaborates with scholars based in Belgium, Switzerland and United States. Jonathan Jaeger's co-authors include Aristea Binia, Diane Zimmermann, Youyou Hu, Anurag Singh, Christiani A. Amorim, Julie Vanacker, Anne Van Langendonckt, Marie‐Madeleine Dolmans, Jacques Donnez and Valérie A. Luyckx and has published in prestigious journals such as Journal of Clinical Oncology, Biomaterials and Human Reproduction.

In The Last Decade

Jonathan Jaeger

15 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Jaeger Belgium 8 353 191 166 124 74 16 594
Fred G. Lightfoot United States 12 127 0.4× 117 0.6× 52 0.3× 126 1.0× 282 3.8× 15 659
Hossein Shakeri Iran 11 157 0.4× 183 1.0× 76 0.5× 437 3.5× 63 0.9× 14 881
Minji Kwon South Korea 14 124 0.4× 40 0.2× 14 0.1× 216 1.7× 48 0.6× 42 600
Aastha Malik India 14 63 0.2× 47 0.2× 19 0.1× 85 0.7× 187 2.5× 35 561
Xiaoyun Liu China 15 126 0.4× 24 0.1× 8 0.0× 108 0.9× 66 0.9× 55 616
Kumar Gupta India 2 51 0.1× 31 0.2× 28 0.2× 84 0.7× 39 0.5× 4 410
Anurag Garg India 8 146 0.4× 110 0.6× 8 0.0× 76 0.6× 116 1.6× 25 719
Lan Zhou China 13 374 1.1× 22 0.1× 22 0.1× 77 0.6× 26 0.4× 37 770
Zahra Soleimani Iran 10 41 0.1× 63 0.3× 19 0.1× 80 0.6× 48 0.6× 37 511
Sadık Görür Türkiye 12 27 0.1× 21 0.1× 44 0.3× 48 0.4× 94 1.3× 30 367

Countries citing papers authored by Jonathan Jaeger

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Jaeger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Jaeger

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Jaeger. A scholar is included among the top collaborators of Jonathan Jaeger 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 Jonathan Jaeger. Jonathan Jaeger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Billeaud, Claude, Carole Vaysse, Leslie Couëdelo, et al.. (2018). Effects on Fatty Acid Metabolism of a New Powdered Human Milk Fortifier Containing Medium-Chain Triacylglycerols and Docosahexaenoic Acid in Preterm Infants. Nutrients. 10(6). 690–690. 11 indexed citations
2.
Béghin, Laurent, X. Marchandise, Eric L. Lien, et al.. (2018). Growth, stool consistency and bone mineral content in healthy term infants fed sn-2-palmitate-enriched starter infant formula: A randomized, double-blind, multicentre clinical trial. Clinical Nutrition. 38(3). 1023–1030. 49 indexed citations
3.
Nowakowski, Grzegorz S., Nagesh Kalakonda, Lorenz Truemper, et al.. (2017). Phase II study of durvalumab (anti-PD-L1 antibody) in combination with R-CHOP or lenalidomide plus R-CHOP in previously untreated, high-risk diffuse large B-cell lymphoma.. Journal of Clinical Oncology. 35(15_suppl). TPS7573–TPS7573. 2 indexed citations
4.
Jaeger, Ulrich, Nagesh Kalakonda, Hele Everaus, et al.. (2017). PHASE II STUDY OF DURVALUMAB (ANTI–PD‐L1) COMBINED WITH EITHER R‐CHOP OR LENALIDOMIDE AND R‐CHOP IN PREVIOUSLY UNTREATED, HIGH‐RISK DIFFUSE LARGE B‐CELL LYMPHOMA. Hematological Oncology. 35(S2). 419–420. 2 indexed citations
5.
Rigo, Jacques, Jean‐Michel Hascoët, Claude Billeaud, et al.. (2017). Growth and Nutritional Biomarkers of Preterm Infants Fed a New Powdered Human Milk Fortifier. Journal of Pediatric Gastroenterology and Nutrition. 65(4). e83–e93. 30 indexed citations
6.
Binia, Aristea, Jonathan Jaeger, Youyou Hu, Anurag Singh, & Diane Zimmermann. (2015). Daily potassium intake and sodium-to-potassium ratio in the reduction of blood pressure. Journal of Hypertension. 33(8). 1509–1520. 183 indexed citations
7.
Frasso, Gianluca, Jonathan Jaeger, & Philippe Lambert. (2015). Parameter estimation and inference in dynamic systems described by linear partial differential equations. AStA Advances in Statistical Analysis. 100(3). 259–287. 6 indexed citations
8.
Frasso, Gianluca, Jonathan Jaeger, & Philippe Lambert. (2015). Inference in dynamic systems using B‐splines and quasilinearized ODE penalties. Biometrical Journal. 58(3). 691–714. 1 indexed citations
9.
Jaeger, Jonathan & Philippe Lambert. (2014). Bayesian penalized smoothing approaches in models specified using differential equations with unknown error distributions. Journal of Applied Statistics. 41(12). 2709–2726. 2 indexed citations
10.
Amorim, Christiani A., Sophie Jacobs, Ram V. Devireddy, et al.. (2013). Successful vitrification and autografting of baboon (Papio anubis) ovarian tissue. Human Reproduction. 28(8). 2146–2156. 51 indexed citations
11.
Jaeger, Jonathan & Philippe Lambert. (2013). Bayesian P-spline estimation in hierarchical models specified by systems of affine differential equations. Statistical Modelling. 13(1). 3–40. 6 indexed citations
12.
Vanacker, Julie, Valérie A. Luyckx, Marie‐Madeleine Dolmans, et al.. (2012). Transplantation of an alginate–matrigel matrix containing isolated ovarian cells: First step in developing a biodegradable scaffold to transplant isolated preantral follicles and ovarian cells. Biomaterials. 33(26). 6079–6085. 127 indexed citations
13.
Amorim, Christiani A., Marie‐Madeleine Dolmans, Anu David, et al.. (2012). Vitrification and xenografting of human ovarian tissue. Fertility and Sterility. 98(5). 1291–1298.e2. 99 indexed citations
14.
Jaeger, Jonathan & Philippe Lambert. (2012). On the use of adhesion parameters to validate models specified using systems of affine differential equations. RePEc: Research Papers in Economics.
15.
Jaeger, Jonathan. (1994). Analytical Solutions of Contact Impact Problems. Applied Mechanics Reviews. 47(2). 35–54. 23 indexed citations
16.
Jaeger, Jonathan. (1970). Torsional Load-histories Of ElasticSpheres In Contact. WIT transactions on engineering sciences. 1. 2 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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