Christopher Scudder

53 total papers · 401 total citations
30 papers, 281 citations indexed

About

Christopher Scudder is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Small Animals. According to data from OpenAlex, Christopher Scudder has authored 30 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Molecular Biology and 8 papers in Small Animals. Recurrent topics in Christopher Scudder's work include Pituitary Gland Disorders and Treatments (12 papers), Growth Hormone and Insulin-like Growth Factors (11 papers) and TGF-β signaling in diseases (8 papers). Christopher Scudder is often cited by papers focused on Pituitary Gland Disorders and Treatments (12 papers), Growth Hormone and Insulin-like Growth Factors (11 papers) and TGF-β signaling in diseases (8 papers). Christopher Scudder collaborates with scholars based in United Kingdom, United States and Switzerland. Christopher Scudder's co-authors include David B. Church, Stijn Niessen, Yaiza Forcada, Robert C. Fowkes, Paul McGreevy, Dave C. Brodbelt, Peter C. Thomson, Dan G. O’Neill, Herbert Schmid and Patrick Kenny and has published in prestigious journals such as International Journal of Molecular Sciences, Annals of Oncology and Cells.

In The Last Decade

Christopher Scudder

28 papers receiving 269 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Christopher Scudder	152	113	68	59	57	30	281
Elizabeth J. Norman	56 0.4×	86 0.8×	34 0.5×	50 0.8×	38 0.7×	22	316
S.F.M. Bhatti	54 0.4×	69 0.6×	37 0.5×	49 0.8×	29 0.5×	20	312
W. J. Biewenga	41 0.3×	127 1.1×	35 0.5×	21 0.4×	72 1.3×	18	269
Jack D. Robinette	30 0.2×	36 0.3×	37 0.5×	78 1.3×	37 0.6×	19	296
Melissa A. Claus	18 0.1×	30 0.3×	46 0.7×	35 0.6×	21 0.4×	22	315
Ranadhir Mitra	42 0.3×	23 0.2×	30 0.4×	32 0.5×	26 0.5×	28	307
E. Tonutti	74 0.5×	8 0.1×	66 1.0×	18 0.3×	13 0.2×	42	245
T. Hayáshida	155 1.0×	7 0.1×	68 1.0×	50 0.8×	6 0.1×	23	309
Ine Cornelis	12 0.1×	31 0.3×	30 0.4×	28 0.5×	54 0.9×	28	290
P. Pearson	17 0.1×	19 0.2×	48 0.7×	54 0.9×	22 0.4×	17	180

Countries citing papers authored by Christopher Scudder

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Scudder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Scudder

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

All Works

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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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