Mike Enger

1.0k total citations
3 papers, 3 citations indexed

About

Mike Enger is a scholar working on Health, Toxicology and Mutagenesis, Artificial Intelligence and Nutrition and Dietetics. According to data from OpenAlex, Mike Enger has authored 3 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Health, Toxicology and Mutagenesis, 1 paper in Artificial Intelligence and 1 paper in Nutrition and Dietetics. Recurrent topics in Mike Enger's work include Mercury impact and mitigation studies (1 paper), Natural Language Processing Techniques (1 paper) and Trace Elements in Health (1 paper). Mike Enger is often cited by papers focused on Mercury impact and mitigation studies (1 paper), Natural Language Processing Techniques (1 paper) and Trace Elements in Health (1 paper). Mike Enger collaborates with scholars based in United States. Mike Enger's co-authors include Alexander Preiss, Línda Morris Brown and Megan Ulmer Carnes and has published in prestigious journals such as Toxicology and Journal of Data Science.

In The Last Decade

Mike Enger

2 papers receiving 3 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mike Enger United States 2 2 1 1 1 1 3 3
A. Dusza-Dobek Poland 1 2 1.0× 2 3
A. A. Pavlov Russia 2 2 1.0× 2 4
B. Adilbekova Russia 2 2 1.0× 2 2
Dominic Reynish United Kingdom 2 2 1.0× 3 3
Maria Aguilera Lorena Italy 2 2 1.0× 2 5
A. M. Cepeda Sarabia Chile 1 2 1.0× 2 2
Randy Nixon 2 2 1.0× 7 3
Ruth Wolstenholme United Kingdom 2 2 1.0× 2 2
M. T. Tran Vietnam 2 2 1.0× 2 4
Roberto Pecoits-Filho Australia 2 2 1.0× 1 1.0× 5 4

Countries citing papers authored by Mike Enger

Since Specialization
Citations

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

Fields of papers citing papers by Mike Enger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Enger

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Enger. A scholar is included among the top collaborators of Mike Enger 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 Mike Enger. Mike Enger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Carnes, Megan Ulmer, Línda Morris Brown, & Mike Enger. (2025). Common data elements to advance ME/CFS research. 46(1). 164–167. 1 indexed citations
2.
Preiss, Alexander, et al.. (2024). Evaluation of Text Cluster Naming with Generative Large Language Models. Journal of Data Science. 376–392.
3.
Enger, Mike, et al.. (1990). Diamide reduces cadmium accumulation by human lung carcinoma A549 cells. Toxicology. 62(1). 53–58. 2 indexed citations

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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