Heidi H. Pak

24 total papers · 1.2k total citations
10 papers, 474 citations indexed

About

Heidi H. Pak is a scholar working on Physiology, Aging and Endocrine and Autonomic Systems. According to data from OpenAlex, Heidi H. Pak has authored 10 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 6 papers in Aging and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in Heidi H. Pak's work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Adipose Tissue and Metabolism (5 papers) and Dietary Effects on Health (3 papers). Heidi H. Pak is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (6 papers), Adipose Tissue and Metabolism (5 papers) and Dietary Effects on Health (3 papers). Heidi H. Pak collaborates with scholars based in United States and Germany. Heidi H. Pak's co-authors include Dudley W. Lamming, Nicole E. Richardson, Cara L. Green, Deyang Yu, Victoria Flores, Colin Boyle, Michelle M. Sonsalla, Sabrina N. Dumas, Timothy A. Hacker and Jessica Wu and has published in prestigious journals such as Cell Metabolism, Scientific Reports and Cell Reports.

In The Last Decade

Heidi H. Pak

9 papers receiving 469 citations

Hit Papers

Lifelong restriction of d... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Heidi H. Pak 298 155 133 90 49 10 474
Sanchari Sinha 165 0.6× 204 1.3× 34 0.3× 36 0.4× 29 0.6× 14 546
Francesco Spelta 213 0.7× 127 0.8× 65 0.5× 28 0.3× 30 0.6× 14 448
Jianhua Zhang 240 0.8× 89 0.6× 77 0.6× 104 1.2× 32 0.7× 19 423
Kirstin Leitner 107 0.4× 153 1.0× 31 0.2× 109 1.2× 59 1.2× 11 440
Michael Mosley 330 1.1× 33 0.2× 53 0.4× 164 1.8× 77 1.6× 7 469
Gordon C. Ballam 200 0.7× 90 0.6× 116 0.9× 35 0.4× 10 0.2× 11 548
Teodora Georgescu 126 0.4× 111 0.7× 15 0.1× 204 2.3× 23 0.5× 14 455
Trea C.M. Streefland 188 0.6× 171 1.1× 46 0.3× 40 0.4× 30 0.6× 19 443
Emily Church 318 1.1× 60 0.4× 16 0.1× 86 1.0× 55 1.1× 10 454
Sara Ahadi 128 0.4× 224 1.4× 52 0.4× 17 0.2× 36 0.7× 12 454

Countries citing papers authored by Heidi H. Pak

Since Specialization
Citations

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

Fields of papers citing papers by Heidi H. Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heidi H. Pak. 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 Heidi H. Pak. The network helps show where Heidi H. Pak may publish in the future.

Co-authorship network of co-authors of Heidi H. Pak

This figure shows the co-authorship network connecting the top 25 collaborators of Heidi H. Pak. A scholar is included among the top collaborators of Heidi H. Pak 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 Heidi H. Pak. Heidi H. Pak 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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