William L. Neeley

19 total papers · 1.3k total citations
14 papers, 1.1k citations indexed

About

William L. Neeley is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, William L. Neeley has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in William L. Neeley's work include DNA Repair Mechanisms (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and Neuroscience and Neural Engineering (3 papers). William L. Neeley is often cited by papers focused on DNA Repair Mechanisms (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and Neuroscience and Neural Engineering (3 papers). William L. Neeley collaborates with scholars based in United States and Sweden. William L. Neeley's co-authors include John M. Essigmann, James C. Delaney, Paul T. Henderson, Steven R. Tannenbaum, Róbert Langer, James G. Muller, Cynthia J. Burrows, Sarah Delaney, Henry Klassen and Sarah L. Tao and has published in prestigious journals such as Journal of Biological Chemistry, Biomaterials and Biochemistry.

In The Last Decade

William L. Neeley

14 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
William L. Neeley 729 131 119 90 89 14 1.1k
L B Chen 726 1.0× 138 1.1× 166 1.4× 143 1.6× 48 0.5× 8 1.2k
Daniel M. Pinkas 553 0.8× 88 0.7× 42 0.4× 67 0.7× 38 0.4× 19 1.2k
Bert Grobben 460 0.6× 60 0.5× 70 0.6× 52 0.6× 61 0.7× 15 975
Rafael P. Ballestero 614 0.8× 43 0.3× 65 0.5× 123 1.4× 108 1.2× 16 1.0k
Monique Vacher 727 1.0× 130 1.0× 143 1.2× 51 0.6× 45 0.5× 25 1.0k
Krishnendu Pal 604 0.8× 63 0.5× 179 1.5× 180 2.0× 39 0.4× 33 1.1k
Kanad Das 452 0.6× 80 0.6× 45 0.4× 97 1.1× 32 0.4× 10 831
Yoon Pyo Choi 621 0.9× 89 0.7× 198 1.7× 96 1.1× 39 0.4× 26 1.2k
Takayuki Kitagawa 669 0.9× 54 0.4× 148 1.2× 46 0.5× 36 0.4× 35 900
Weiwei An 694 1.0× 158 1.2× 250 2.1× 187 2.1× 53 0.6× 31 1.1k

Countries citing papers authored by William L. Neeley

Since Specialization
Citations

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

Fields of papers citing papers by William L. Neeley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William L. Neeley. 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 William L. Neeley. The network helps show where William L. Neeley may publish in the future.

Co-authorship network of co-authors of William L. Neeley

This figure shows the co-authorship network connecting the top 25 collaborators of William L. Neeley. A scholar is included among the top collaborators of William L. Neeley 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 William L. Neeley. William L. Neeley 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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