Amber L. Williams

20 total papers · 934 total citations
15 papers, 669 citations indexed

About

Amber L. Williams is a scholar working on Pediatrics, Perinatology and Child Health, Emergency Medicine and Endocrine and Autonomic Systems. According to data from OpenAlex, Amber L. Williams has authored 15 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 6 papers in Emergency Medicine and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Amber L. Williams's work include Cardiac Arrest and Resuscitation (5 papers), Infant Development and Preterm Care (4 papers) and Non-Invasive Vital Sign Monitoring (3 papers). Amber L. Williams is often cited by papers focused on Cardiac Arrest and Resuscitation (5 papers), Infant Development and Preterm Care (4 papers) and Non-Invasive Vital Sign Monitoring (3 papers). Amber L. Williams collaborates with scholars based in United States. Amber L. Williams's co-authors include Robert E. Lasky, Eric J. Thomas, Sharon S. Crandell, Robert L. Helmreich, Jon E. Tyson, Brenda Taggart, J. Bryan Sexton, Nikhil Padhye, Seetha Shankaran and Nehal A. Parikh and has published in prestigious journals such as PEDIATRICS, Frontiers in Endocrinology and Early Human Development.

In The Last Decade

Amber L. Williams

14 papers receiving 635 citations

Author Peers

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

Author						Papers	Cites
Amber L. Williams	289	178	177	169	145	15	669
Archana Nimbalkar	333 1.2×	161 0.9×	82 0.5×	77 0.5×	78 0.5×	36	616
Anita Honkanen	391 1.4×	159 0.9×	72 0.4×	69 0.4×	99 0.7×	22	696
Jack M. Percelay	146 0.5×	134 0.8×	27 0.2×	165 1.0×	75 0.5×	17	610
Rohitkumar Vasa	426 1.5×	198 1.1×	65 0.4×	48 0.3×	58 0.4×	19	778
Katherine Finn Davis	225 0.8×	42 0.2×	42 0.2×	91 0.5×	48 0.3×	18	766
Courtney Hardy	383 1.3×	140 0.8×	15 0.1×	161 1.0×	108 0.7×	14	742
Bonnie Taylor	155 0.5×	145 0.8×	52 0.3×	119 0.7×	14 0.1×	41	740
Dianne Crellin	490 1.7×	42 0.2×	29 0.2×	120 0.7×	76 0.5×	33	766
Mary‐Ellen Hogan	334 1.2×	51 0.3×	41 0.2×	114 0.7×	53 0.4×	25	636
Fay Warnock	361 1.2×	48 0.3×	85 0.5×	15 0.1×	148 1.0×	26	560

Countries citing papers authored by Amber L. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Amber L. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber L. Williams

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