Willis K. Paull

23 total papers · 736 total citations
17 papers, 518 citations indexed

About

Willis K. Paull is a scholar working on Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Willis K. Paull has authored 17 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Pediatrics, Perinatology and Child Health and 3 papers in Molecular Biology. Recurrent topics in Willis K. Paull's work include Neonatal and fetal brain pathology (3 papers), Mitochondrial Function and Pathology (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Willis K. Paull is often cited by papers focused on Neonatal and fetal brain pathology (3 papers), Mitochondrial Function and Pathology (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Willis K. Paull collaborates with scholars based in United States, Hungary and Romania. Willis K. Paull's co-authors include Zsolt Liposits, Clyde F. Phelix, David E. Scott, Ronald M. Lechan, Ivor M.D. Jackson, Michael M. Kaplan, Thomas P. Segerson, Ping Wu, Gerald P. Kozlowski and Debra M. Sherman and has published in prestigious journals such as The Journal of Comparative Neurology, Endocrinology and European Journal of Biochemistry.

In The Last Decade

Willis K. Paull

17 papers receiving 504 citations

Author Peers

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

Author						Papers	Cites
Willis K. Paull	207	117	116	100	91	17	518
G. Clarissa Desjardins	204 1.0×	97 0.8×	111 1.0×	76 0.8×	82 0.9×	12	456
M. J. Klein	219 1.1×	246 2.1×	120 1.0×	216 2.2×	106 1.2×	20	608
K. Ajika	167 0.8×	125 1.1×	100 0.9×	106 1.1×	91 1.0×	15	540
Arturo M. Banzán	110 0.5×	90 0.8×	124 1.1×	141 1.4×	62 0.7×	23	462
Csaba Vastagh	138 0.7×	102 0.9×	161 1.4×	59 0.6×	45 0.5×	26	543
B. Carette	239 1.2×	152 1.3×	145 1.3×	155 1.6×	87 1.0×	30	591
E. Arnauld	180 0.9×	140 1.2×	126 1.1×	137 1.4×	72 0.8×	14	546
June Kawano	168 0.8×	155 1.3×	135 1.2×	54 0.5×	73 0.8×	20	529
Daniela Grassi	80 0.4×	71 0.6×	100 0.9×	101 1.0×	104 1.1×	31	469
Tracey A. Van Kempen	153 0.7×	92 0.8×	97 0.8×	137 1.4×	171 1.9×	19	518

Countries citing papers authored by Willis K. Paull

Since Specialization

Citations

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

Fields of papers citing papers by Willis K. Paull

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Willis K. Paull. 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 Willis K. Paull. The network helps show where Willis K. Paull may publish in the future.

Co-authorship network of co-authors of Willis K. Paull

This figure shows the co-authorship network connecting the top 25 collaborators of Willis K. Paull. A scholar is included among the top collaborators of Willis K. Paull 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 Willis K. Paull. Willis K. Paull 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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