Dan Nabriski

26 total papers · 1.6k total citations
23 papers, 359 citations indexed

About

Dan Nabriski is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Oncology. According to data from OpenAlex, Dan Nabriski has authored 23 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 3 papers in Oncology. Recurrent topics in Dan Nabriski's work include Adrenal Hormones and Disorders (4 papers), Pituitary Gland Disorders and Treatments (3 papers) and Bone health and osteoporosis research (3 papers). Dan Nabriski is often cited by papers focused on Adrenal Hormones and Disorders (4 papers), Pituitary Gland Disorders and Treatments (3 papers) and Bone health and osteoporosis research (3 papers). Dan Nabriski collaborates with scholars based in Israel and United States. Dan Nabriski's co-authors include Menachem S. Shapiro, Elizabeth Shenkman, R. Ness-Abramof, Louis Shenkman, Martin Ellis, E. Weiß, Sophia Rosenzweig, Brian Hutchinson, Charles S. Hollander and Tapan Audhya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Endocrinology.

In The Last Decade

Dan Nabriski

23 papers receiving 348 citations

Author Peers

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

Author Last Decade Papers Cites
Dan Nabriski 167 75 53 40 38 23 359
Frederick G. Berlinger 150 0.9× 74 1.0× 64 1.2× 16 0.4× 17 0.4× 15 364
Belgi̇n Efe 156 0.9× 52 0.7× 69 1.3× 66 1.6× 8 0.2× 21 389
Rieko Kominami 163 1.0× 52 0.7× 130 2.5× 12 0.3× 14 0.4× 24 403
Johannes Bobjer 130 0.8× 78 1.0× 111 2.1× 7 0.2× 20 0.5× 23 398
Andrew Lansdown 154 0.9× 57 0.8× 26 0.5× 28 0.7× 7 0.2× 17 338
D J Goldie 148 0.9× 33 0.4× 48 0.9× 11 0.3× 47 1.2× 21 368
Vitali Gorenoi 150 0.9× 68 0.9× 88 1.7× 10 0.3× 14 0.4× 23 365
Sinan Kırım 121 0.7× 42 0.6× 50 0.9× 11 0.3× 12 0.3× 25 327
P. Rampini 218 1.3× 63 0.8× 32 0.6× 18 0.5× 8 0.2× 19 368
Sadaki Sakane 279 1.7× 28 0.4× 85 1.6× 13 0.3× 10 0.3× 37 386

Countries citing papers authored by Dan Nabriski

Since Specialization
Citations

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

Fields of papers citing papers by Dan Nabriski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Nabriski

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