Norman Weiner

110 total papers · 3.4k total citations
75 papers, 2.6k citations indexed

About

Norman Weiner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmaceutical Science. According to data from OpenAlex, Norman Weiner has authored 75 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 17 papers in Pharmaceutical Science. Recurrent topics in Norman Weiner's work include Advancements in Transdermal Drug Delivery (15 papers), Neuroscience and Neuropharmacology Research (11 papers) and Biochemical effects in animals (10 papers). Norman Weiner is often cited by papers focused on Advancements in Transdermal Drug Delivery (15 papers), Neuroscience and Neuropharmacology Research (11 papers) and Biochemical effects in animals (10 papers). Norman Weiner collaborates with scholars based in United States, Sweden and Pakistan. Norman Weiner's co-authors include Jack C. Waymire, Richard A. Bjur, Joseph M. Masserano, Chandrasekharan Ramachandran, Antonia Vernadakis, Gordon L. Flynn, Frank Martin, A. William Tank, Charles O. Rutledge and Linda M. Lieb and has published in prestigious journals such as Science, Circulation and Analytical Biochemistry.

In The Last Decade

Norman Weiner

73 papers receiving 2.4k citations

Hit Papers

Assay of tyrosine hydroxy... 1971 2026 1989 2007 1971 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Norman Weiner 913 908 502 469 290 75 2.6k
N. Weiner 1.8k 1.9× 1.1k 1.3× 920 1.8× 643 1.4× 493 1.7× 138 3.9k
Anne McMahon 818 0.9× 606 0.7× 90 0.2× 247 0.5× 69 0.2× 46 1.9k
Rajnish Kumar Chaturvedi 1.8k 1.9× 1.1k 1.2× 95 0.2× 861 1.8× 81 0.3× 75 4.0k
Olivier Sorg 876 1.0× 561 0.6× 76 0.2× 296 0.6× 873 3.0× 81 2.9k
Jia Lu 1.4k 1.6× 276 0.3× 175 0.3× 356 0.8× 61 0.2× 65 3.5k
Noritaka Nakamichi 1.0k 1.1× 670 0.7× 72 0.1× 385 0.8× 41 0.1× 103 2.6k
Larry A. Wheeler 1.6k 1.8× 595 0.7× 66 0.1× 237 0.5× 204 0.7× 90 3.6k
Richard W. Schayer 1.7k 1.8× 240 0.3× 98 0.2× 351 0.7× 53 0.2× 94 2.9k
Joffre Corinne 947 1.0× 203 0.2× 64 0.1× 642 1.4× 93 0.3× 76 3.5k
H. Blaschko 1.5k 1.6× 919 1.0× 85 0.2× 505 1.1× 22 0.1× 84 3.1k

Countries citing papers authored by Norman Weiner

Since Specialization
Citations

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

Fields of papers citing papers by Norman Weiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norman Weiner

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