Carol Heck

22 total papers · 653 total citations
20 papers, 507 citations indexed

About

Carol Heck is a scholar working on Surgery, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Carol Heck has authored 20 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Pharmacology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Carol Heck's work include Pain Mechanisms and Treatments (2 papers), Musculoskeletal pain and rehabilitation (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). Carol Heck is often cited by papers focused on Pain Mechanisms and Treatments (2 papers), Musculoskeletal pain and rehabilitation (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). Carol Heck collaborates with scholars based in Canada, United States and Germany. Carol Heck's co-authors include Heather L. Davis, Ronald M. Lindsay, Yuan Zhu, Teri G. Boulton, Peter S. DiStefano, David Parry, Maureen E. Helgren, Stephen P. Squinto, George D. Yancopoulos and Dina Brooks and has published in prestigious journals such as Cell, Pain and Annals of the Rheumatic Diseases.

In The Last Decade

Carol Heck

20 papers receiving 480 citations

Author Peers

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

Author						Papers	Cites
Carol Heck	115	99	94	87	57	20	507
Carmelo Chisari	63 0.5×	20 0.2×	58 0.6×	33 0.4×	21 0.4×	28	473
Lindsay Rm	67 0.6×	196 2.0×	94 1.0×	86 1.0×	17 0.3×	29	573
Michelle Kaku	96 0.8×	19 0.2×	42 0.4×	33 0.4×	15 0.3×	30	579
J.E. Clague	42 0.4×	35 0.4×	40 0.4×	33 0.4×	72 1.3×	27	463
Etsuko Ozaki	47 0.4×	36 0.4×	77 0.8×	66 0.8×	24 0.4×	41	543
C. D. Reimers	97 0.8×	8 0.1×	24 0.3×	103 1.2×	33 0.6×	28	485
Theresa Nguyen	157 1.4×	27 0.3×	18 0.2×	78 0.9×	17 0.3×	35	527
Li Mo	83 0.7×	31 0.3×	9 0.1×	25 0.3×	41 0.7×	21	475
Xuelian Sun	97 0.8×	51 0.5×	8 0.1×	36 0.4×	19 0.3×	34	462
Amy Yang	70 0.6×	18 0.2×	41 0.4×	137 1.6×	14 0.2×	24	603

Countries citing papers authored by Carol Heck

Since Specialization

Citations

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

Fields of papers citing papers by Carol Heck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Heck

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Heck. A scholar is included among the top collaborators of Carol Heck 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 Carol Heck. Carol Heck 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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