Laura E. Nagy

14.1k total citations · 4 hit papers
225 papers, 10.4k citations indexed

About

Laura E. Nagy is a scholar working on Epidemiology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Laura E. Nagy has authored 225 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Epidemiology, 98 papers in Pathology and Forensic Medicine and 72 papers in Molecular Biology. Recurrent topics in Laura E. Nagy's work include Alcohol Consumption and Health Effects (96 papers), Liver Disease Diagnosis and Treatment (92 papers) and Adipose Tissue and Metabolism (24 papers). Laura E. Nagy is often cited by papers focused on Alcohol Consumption and Health Effects (96 papers), Liver Disease Diagnosis and Treatment (92 papers) and Adipose Tissue and Metabolism (24 papers). Laura E. Nagy collaborates with scholars based in United States, Canada and China. Laura E. Nagy's co-authors include Megan R. McMullen, Michele T. Pritchard, Sanjoy Roychowdhury, Mark Barnes, Bin Gao, Hui Tang, Jessica I. Cohen, Laura J. Dixon, Becky M. Sebastian and Gail Cresci and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Laura E. Nagy

219 papers receiving 10.3k citations

Hit Papers

Kupffer Cells in the Liver 2013 2026 2017 2021 2013 2019 2022 2025 100 200 300 400

Peers

Laura E. Nagy
Comparison fields: 5 of 142
  • Epidemiology 4.9k
  • Molecular Biology 3.6k
  • Pathology and Forensic Medicine 3.4k
  • Immunology 1.7k
  • Physiology 1.4k
Replace Pranoti Mandrekar with:
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Pranoti Mandrekar United States View profile →
Citations per field, relative to Laura E. Nagy
Laura E. Nagy · 1×
Citations per year, relative to Laura E. Nagy
Laura E. Nagy · 1×

Countries citing papers authored by Laura E. Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Laura E. Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura E. Nagy. 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 Laura E. Nagy. The network helps show where Laura E. Nagy may publish in the future.

Co-authorship network of co-authors of Laura E. Nagy

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

All Works

20 of 20 papers shown
# Work Indexed citations
1
Fibrosis: cross-organ biology and pathways to development of innovative drugs breakdown →
15
2 4
3 2
4 25
5 15
6 10
7 40
8 17
9 30
10 15
11 12
12 23
13 13
14 64
15 75
16 43
17 7
18
Alcohol : methods and protocols
13
19
Anthralin toxicity for human skin fibroblasts
1
20
Effect of environmental temperature on the metabolism of normal rats and rats treated with thyroxine.
1

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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