Chris Shilling

2.8k total citations · 1 hit paper
5 papers, 1.5k citations indexed

About

Chris Shilling is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Chris Shilling has authored 5 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Oncology. Recurrent topics in Chris Shilling's work include Muscle Physiology and Disorders (5 papers), Virus-based gene therapy research (4 papers) and CAR-T cell therapy research (3 papers). Chris Shilling is often cited by papers focused on Muscle Physiology and Disorders (5 papers), Virus-based gene therapy research (4 papers) and CAR-T cell therapy research (3 papers). Chris Shilling collaborates with scholars based in United States. Chris Shilling's co-authors include Jerry R. Mendell, Zarife Sahenk, Kevin M. Flanigan, K. Reed Clark, Louise R. Rodino‐Klapac, Sarah Lewis, Gloria Galloway, Brian D. Coley, Christopher M. Walker and Vinod Malik and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Journal of Immunology.

In The Last Decade

Chris Shilling

5 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evidence‐based path to newborn screening for duchenne muscular dystrophy

2012 607 citations Jerry R. Mendell, Chris Shilling et al. Annals of Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Shilling United States	4	1.3k	500	294	237	198	5	1.5k
Lindsay N. Alfano United States	21	1.6k 1.3×	541 1.1×	338 1.1×	907 3.8×	213 1.1×	88	2.3k
Valeria Parente Italy	16	1.0k 0.8×	133 0.3×	87 0.3×	245 1.0×	205 1.0×	25	1.4k
Russell J. Butterfield United States	21	687 0.5×	257 0.5×	107 0.4×	183 0.8×	82 0.4×	71	1.4k
Chiara Rinaldi Italy	13	1.0k 0.8×	129 0.3×	98 0.3×	327 1.4×	200 1.0×	24	1.3k
Gloria Galloway United States	11	731 0.6×	463 0.9×	214 0.7×	126 0.5×	58 0.3×	21	1.2k
Elicia Estrella United States	15	678 0.5×	158 0.3×	159 0.5×	148 0.6×	93 0.5×	28	922
Kelly J. Lehman United States	13	791 0.6×	387 0.8×	164 0.6×	457 1.9×	72 0.4×	37	1.1k
Anna Kostera‐Pruszczyk Poland	22	613 0.5×	85 0.2×	121 0.4×	427 1.8×	143 0.7×	120	1.4k
Mai K. ElMallah United States	22	575 0.4×	279 0.6×	46 0.2×	268 1.1×	588 3.0×	71	1.4k
Satoko Kumada Japan	20	630 0.5×	423 0.8×	61 0.2×	160 0.7×	140 0.7×	86	1.4k

Countries citing papers authored by Chris Shilling

Since Specialization

Citations

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

Fields of papers citing papers by Chris Shilling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Shilling

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Mendell, Jerry R., Chris Shilling, Nancy D. Leslie, et al.. (2012). Evidence‐based path to newborn screening for duchenne muscular dystrophy. Annals of Neurology. 71(3). 304–313. 607 indexed citations breakdown →

2.

Campbell, Katherine, Louise R. Rodino‐Klapac, Zarife Sahenk, et al.. (2010). Revertant muscle fibers expressing dystrophin do not tolerize the immune system in Duchenne muscular dystrophy: lessons learned from a Phase I clinical trial (96.9). The Journal of Immunology. 184(Supplement_1). 96.9–96.9. 1 indexed citations

3.

Mendell, Jerry R., Louise R. Rodino‐Klapac, Xiomara Q. Rosales, et al.. (2010). Sustained alpha‐sarcoglycan gene expression after gene transfer in limb‐girdle muscular dystrophy, type 2D. Annals of Neurology. 68(5). 629–638. 175 indexed citations

4.

Mendell, Jerry R., Katherine Campbell, Louise R. Rodino‐Klapac, et al.. (2010). Dystrophin Immunity in Duchenne's Muscular Dystrophy. New England Journal of Medicine. 363(15). 1429–1437. 455 indexed citations

5.

Haidet, Amanda M., Chalonda R. Handy, Priya Umapathi, et al.. (2008). Long-term enhancement of skeletal muscle mass and strength by single gene administration of myostatin inhibitors. Proceedings of the National Academy of Sciences. 105(11). 4318–4322. 222 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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