Amber Rinderknecht

8 total papers · 506 total citations
5 papers, 369 citations indexed

About

Amber Rinderknecht is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology and Pollution. According to data from OpenAlex, Amber Rinderknecht has authored 5 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health, Toxicology and Mutagenesis, 1 paper in Molecular Biology and 1 paper in Pollution. Recurrent topics in Amber Rinderknecht's work include Heavy Metal Exposure and Toxicity (3 papers), Mercury impact and mitigation studies (2 papers) and Anesthesia and Neurotoxicity Research (1 paper). Amber Rinderknecht is often cited by papers focused on Heavy Metal Exposure and Toxicity (3 papers), Mercury impact and mitigation studies (2 papers) and Anesthesia and Neurotoxicity Research (1 paper). Amber Rinderknecht collaborates with scholars based in United States. Amber Rinderknecht's co-authors include Alison Elder, Günter Oberdörster, Anupa R. Menjoge, Richard K. Miller, Roberto Romero, Rangaramanujam M. Kannan, Raghavendra S. Navath, Chong J. Kim, Michael T. Kleinman and Jonathan Ericson and has published in prestigious journals such as Journal of Controlled Release, Environmental Research and NeuroToxicology.

In The Last Decade

Amber Rinderknecht

5 papers receiving 362 citations

Author Peers

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

Author						Papers	Cites
Amber Rinderknecht	135	133	65	46	45	5	369
Zengjin Wang	107 0.8×	100 0.8×	73 1.1×	29 0.6×	13 0.3×	11	377
Massimiliano Colonna	79 0.6×	253 1.9×	158 2.4×	64 1.4×	14 0.3×	6	408
Nicola A. Philbrook	135 1.0×	169 1.3×	59 0.9×	9 0.2×	15 0.3×	11	350
Changcun Bai	78 0.6×	186 1.4×	54 0.8×	21 0.5×	9 0.2×	15	353
Jeanine N. D’Errico	132 1.0×	91 0.7×	86 1.3×	45 1.0×	61 1.4×	11	433
Violet Aileen Senapati	71 0.5×	249 1.9×	81 1.2×	55 1.2×	5 0.1×	9	340
Yoon-Hee Park	57 0.4×	190 1.4×	74 1.1×	51 1.1×	6 0.1×	12	388
Mohammad Esmaeillou	63 0.5×	123 0.9×	47 0.7×	48 1.0×	6 0.1×	9	335
Ryan J. Snyder	213 1.6×	86 0.6×	45 0.7×	10 0.2×	8 0.2×	12	429
Heaweon Park	161 1.2×	253 1.9×	59 0.9×	14 0.3×	5 0.1×	8	406

Countries citing papers authored by Amber Rinderknecht

Since Specialization

Citations

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

Fields of papers citing papers by Amber Rinderknecht

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber Rinderknecht

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