Jonathan D. Rollins

682 total citations
9 papers, 451 citations indexed

About

Jonathan D. Rollins is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Jonathan D. Rollins has authored 9 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Jonathan D. Rollins's work include Genomic variations and chromosomal abnormalities (4 papers), Chromosomal and Genetic Variations (3 papers) and Congenital heart defects research (3 papers). Jonathan D. Rollins is often cited by papers focused on Genomic variations and chromosomal abnormalities (4 papers), Chromosomal and Genetic Variations (3 papers) and Congenital heart defects research (3 papers). Jonathan D. Rollins collaborates with scholars based in United States, Switzerland and Germany. Jonathan D. Rollins's co-authors include Julianne S. Collins, Kenton R. Holden, R. Curtis Rogers, Sara M. Sarasua, Katy Phelan, Barbara R. DuPont, Luigi Boccuto, Alka Dwivedi, Julia L. Sharp and Chih‐Feng Chen and has published in prestigious journals such as The Journal of Pediatrics, Journal of Medical Genetics and Human Genetics.

In The Last Decade

Jonathan D. Rollins

9 papers receiving 445 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 D. Rollins United States 7 300 217 139 73 43 9 451
Martha Bardsley United States 7 355 1.2× 253 1.2× 101 0.7× 52 0.7× 10 0.2× 8 461
Laëtitia Lambert France 11 351 1.2× 235 1.1× 77 0.6× 38 0.5× 26 0.6× 32 509
Magdalena Budișteanu Romania 8 147 0.5× 129 0.6× 41 0.3× 40 0.5× 7 0.2× 46 299
Sailaja Golla United States 8 127 0.4× 78 0.4× 86 0.6× 16 0.2× 11 0.3× 11 242
J.A.S. Vorstman Netherlands 4 225 0.8× 141 0.6× 133 1.0× 23 0.3× 25 0.6× 4 298
Nienke E. Verbeek Netherlands 18 392 1.3× 308 1.4× 94 0.7× 136 1.9× 18 0.4× 23 777
Eva W. C. Chow Canada 9 218 0.7× 217 1.0× 39 0.3× 24 0.3× 10 0.2× 9 381
Christine Hinard Switzerland 6 194 0.6× 325 1.5× 109 0.8× 29 0.4× 7 0.2× 8 435
Paolo Piccinelli Italy 14 126 0.4× 160 0.7× 181 1.3× 150 2.1× 15 0.3× 20 606
Nicholas J. Pojman United States 5 106 0.4× 72 0.3× 146 1.1× 88 1.2× 8 0.2× 5 343

Countries citing papers authored by Jonathan D. Rollins

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Rollins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan D. Rollins

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

All Works

9 of 9 papers shown
1.
Jiang, Haotian, Jiangxu Li, Yuchen Gu, et al.. (2025). Terahertz sensing based on the nonlinear electrodynamics of the two-dimensional correlated topological semimetal TaIrTe4. Nature Electronics. 8(7). 578–586. 5 indexed citations
3.
Yin, Weihua, Ying Gao, Bin Lü, et al.. (2020). Contrast medium injection protocols for coronary CT angiography: should contrast medium volumes be tailored to body weight or body surface area?. Clinical Radiology. 75(5). 395.e17–395.e24. 3 indexed citations
4.
Stroud, Robert E., Davide Piccini, U. Joseph Schoepf, et al.. (2019). Correcting versus resolving respiratory motion in free-breathing whole-heart MRA: a comparison in patients with thoracic aortic disease. European Radiology Experimental. 3(1). 29–29. 9 indexed citations
5.
Sarasua, Sara M., Luigi Boccuto, Julia L. Sharp, et al.. (2014). Clinical and genomic evaluation of 201 patients with Phelan–McDermid syndrome. Human Genetics. 133(7). 847–859. 133 indexed citations
6.
Sarasua, Sara M., Alka Dwivedi, Luigi Boccuto, et al.. (2013). 22q13.2q13.32 genomic regions associated with severity of speech delay, developmental delay, and physical features in Phelan–McDermid syndrome. Genetics in Medicine. 16(4). 318–328. 62 indexed citations
7.
Rollins, Jonathan D., Sara M. Sarasua, Katy Phelan, et al.. (2011). Growth in Phelan–McDermid syndrome. American Journal of Medical Genetics Part A. 155(9). 2324–2326. 12 indexed citations
8.
Sarasua, Sara M., Alka Dwivedi, Luigi Boccuto, et al.. (2011). Association between deletion size and important phenotypes expands the genomic region of interest in Phelan–McDermid syndrome (22q13 deletion syndrome). Journal of Medical Genetics. 48(11). 761–766. 104 indexed citations
9.
Rollins, Jonathan D., Julianne S. Collins, & Kenton R. Holden. (2010). United States Head Circumference Growth Reference Charts: Birth to 21 Years. The Journal of Pediatrics. 156(6). 907–913.e2. 116 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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