A. G. Kasselberg

27 total papers · 1.1k total citations
23 papers, 829 citations indexed

About

A. G. Kasselberg is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, A. G. Kasselberg has authored 23 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in A. G. Kasselberg's work include Neuroendocrine Tumor Research Advances (3 papers), Pituitary Gland Disorders and Treatments (3 papers) and Neuroscience of respiration and sleep (3 papers). A. G. Kasselberg is often cited by papers focused on Neuroendocrine Tumor Research Advances (3 papers), Pituitary Gland Disorders and Treatments (3 papers) and Neuroscience of respiration and sleep (3 papers). A. G. Kasselberg collaborates with scholars based in United States and Switzerland. A. G. Kasselberg's co-authors include Mildred T. Stahlman, David N. Orth, Mary E. Gray, Martin G. Netsky, James O. Palmer, R. Heller, H L Greene, Sandra G. Kirchner, David T. Karzon and Peter F. Wright and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer and The American Journal of Medicine.

In The Last Decade

A. G. Kasselberg

23 papers receiving 761 citations

Author Peers

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

Author						Papers	Cites
A. G. Kasselberg	283	169	161	160	127	23	829
Hisako Endo	259 0.9×	189 1.1×	158 1.0×	168 1.1×	63 0.5×	51	887
Amalia Kinarty	162 0.6×	118 0.7×	96 0.6×	104 0.7×	83 0.7×	40	920
Otto Brændstrup	160 0.6×	123 0.7×	161 1.0×	205 1.3×	62 0.5×	50	993
Giovanni Pecorini	396 1.4×	74 0.4×	161 1.0×	134 0.8×	93 0.7×	21	885
A Schneider	313 1.1×	100 0.6×	160 1.0×	232 1.4×	342 2.7×	31	1.0k
Gayle M. Waitches	401 1.4×	92 0.5×	55 0.3×	177 1.1×	60 0.5×	15	862
J. C. Mackenzie	295 1.0×	68 0.4×	97 0.6×	70 0.4×	64 0.5×	37	954
M. Toepfer	147 0.5×	79 0.5×	158 1.0×	154 1.0×	33 0.3×	27	907
Tuncer Onay	402 1.4×	125 0.7×	92 0.6×	102 0.6×	47 0.4×	23	920
Michael E. Rosenfeld	236 0.8×	87 0.5×	188 1.2×	160 1.0×	33 0.3×	26	981

Countries citing papers authored by A. G. Kasselberg

Since Specialization

Citations

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

Fields of papers citing papers by A. G. Kasselberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. G. Kasselberg. 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 A. G. Kasselberg. The network helps show where A. G. Kasselberg may publish in the future.

Co-authorship network of co-authors of A. G. Kasselberg

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