Michelle D. Pine

647 citations
27 papers · 547 · h-index 11

Impact in

Papers in

Michelle D. Pine

27 papers receiving 519 citations

Peers

Michelle D. Pine
Comparison fields: 5 of 74
  • Reproductive Medicine 149
  • Health, Toxicology and Mutagenesis 134
  • Human-Computer Interaction 61
  • Pollution 36
  • Physiology 6
Replace Alicja Kowalczyk with:
Alicja Kowalczyk Poland
Qingqing Liu China
Honggui Liu China
Archana Singh India
Sheng Wan China
Michal Hubert Wrobel Poland
Sidney J. Stolzenberg United States
Rameshpathy Manian India
S. K. Majumder India
Han Yan China
Michelle D. Pine relative to Alicja Kowalczyk Poland Alicja Kowalczyk's profile →
Citations per field
00.5×2×4×6×8.2×
Alicja Kowalczyk · 1×
Citations per year

Countries citing papers authored by Michelle D. Pine

Since Specialization
Citations

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

Fields of papers citing papers by Michelle D. Pine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle D. Pine. 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 Michelle D. Pine. The network helps show where Michelle D. Pine may publish in the future.

Co-authors

The 21 scholars most cited alongside Michelle D. Pine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michelle D. Pine Line = papers co-authored together Michelle D. Pine links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200886
2 200575
3 200660
4 200954
5 201144
6 200840
7 201739
8 200636
9 201733
10 200515
11 200411
12 20079
13 20178
14 20187
15 20196
16 20074
17 20144
18 20163
19 20142
20 20172

About Michelle D. Pine

Michelle D. Pine is a scholar working on Human-Computer Interaction, Reproductive Medicine, Biomedical Engineering, Health, Toxicology and Mutagenesis and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 547 indexed citations. Recurring topics across this work include Anatomy and Medical Technology (11 papers), Hypothalamic control of reproductive hormones (5 papers), Virtual Reality Applications and Impacts (5 papers), Augmented Reality Applications (4 papers), Heavy Metal Exposure and Toxicity (2 papers), Pesticide Exposure and Toxicity (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). The work is most often cited by research in Reproductive Medicine (149 citations), Health, Toxicology and Mutagenesis (134 citations), Human-Computer Interaction (61 citations), Pollution (36 citations) and Physiology (6 citations). Michelle D. Pine has collaborated with scholars based in United States, China and Canada. Frequent co-authors include W. Les Dees, Jill K. Hiney, Boyeon Lee, Vinod K. Srivastava, Brian Laffin, Robert K. Dearth, Seo Jinsil Hwaryoung, Jinkyo Suh, Brian Michael Smith and Larry W. Johnson. Their work appears in journals such as The FASEB Journal, Reproductive Toxicology, The Journal of Physiology, ACS Applied Materials & Interfaces and Journal of Studies on Alcohol and Drugs.

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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