Holden C. Williams

19 total papers · 495 total citations
7 papers, 241 citations indexed

About

Holden C. Williams is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Holden C. Williams has authored 7 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 2 papers in Molecular Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Holden C. Williams's work include Mitochondrial Function and Pathology (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Alzheimer's disease research and treatments (2 papers). Holden C. Williams is often cited by papers focused on Mitochondrial Function and Pathology (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Alzheimer's disease research and treatments (2 papers). Holden C. Williams collaborates with scholars based in United States. Holden C. Williams's co-authors include Lance A. Johnson, Brandon C. Farmer, Ramon C. Sun, Adeline E. Walsh, J. Anthony Brandon, Ronald C. Bruntz, Matthew S. Gentry, Josh M. Morganti, Sangderk Lee and Tara R. Hawkinson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cell Reports and Neurobiology of Disease.

In The Last Decade

Holden C. Williams

6 papers receiving 240 citations

Author Peers

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

Author						Papers	Cites
Holden C. Williams	124	98	73	34	33	7	241
Ang Xing	131 1.1×	115 1.2×	56 0.8×	50 1.5×	17 0.5×	10	316
Marcell Szabo	125 1.0×	133 1.4×	57 0.8×	47 1.4×	21 0.6×	8	303
Giovanna C. Regis	107 0.9×	69 0.7×	103 1.4×	19 0.6×	20 0.6×	6	289
Justin Miron	134 1.1×	82 0.8×	68 0.9×	22 0.6×	33 1.0×	11	230
Hanqing Ding	68 0.5×	72 0.7×	113 1.5×	38 1.1×	32 1.0×	12	317
Evangeline M. Foster	161 1.3×	170 1.7×	53 0.7×	19 0.6×	26 0.8×	5	315
Noralyn B. Mañucat‐Tan	147 1.2×	100 1.0×	67 0.9×	72 2.1×	16 0.5×	12	308
Isabel H. Salas	108 0.9×	162 1.7×	87 1.2×	68 2.0×	24 0.7×	9	325
Jingliu Liu	107 0.9×	104 1.1×	89 1.2×	22 0.6×	34 1.0×	9	305
Florent Letronne	121 1.0×	95 1.0×	100 1.4×	37 1.1×	48 1.5×	8	256

Countries citing papers authored by Holden C. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Holden C. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Holden C. Williams. 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 Holden C. Williams. The network helps show where Holden C. Williams may publish in the future.

Co-authorship network of co-authors of Holden C. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Holden C. Williams. A scholar is included among the top collaborators of Holden C. Williams 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 Holden C. Williams. Holden C. Williams 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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