M. Phillips

78 papers receiving 2.2k citations

Peers

M. Phillips
Comparison fields: 5 of 157
  • Internal Medicine 275
  • Hepatology 207
  • Ophthalmology 215
  • Health, Toxicology and Mutagenesis 296
  • Cellular and Molecular Neuroscience 331
Replace Yi‐Chu Liao with:
Yi‐Chu Liao Taiwan
Wei‐Liang Chen Taiwan
Jinjin Zhang China
Xin Xu China
Yan He China
Tiange Wang China
Jing Han China
Jung Eun Lee South Korea
Xiaoyin Wang China
Jingjing Wu China
M. Phillips relative to Yi‐Chu Liao Taiwan Yi‐Chu Liao's profile →
Citations per field
00.5×10.2×
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Citations per year

Countries citing papers authored by M. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by M. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Phillips, 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 M. Phillips Line = papers co-authored together M. Phillips links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010301
2 2007300
3 1993209
4 2007163
5 2010122
6 200590
7 201183
8
Tool from ancient pharmacopoeia prevents vision loss.
200681
9 199679
10 200878
11 201575
12 200872
13 200858
14 201657
15 200954
16 200152
17 200550
18 201226
19 202024
20 200424

About M. Phillips

M. Phillips is a scholar working on Agronomy and Crop Science, Internal Medicine, Forestry, Health, Toxicology and Mutagenesis and Hepatology, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Retinal Development and Disorders (12 papers), Ruminant Nutrition and Digestive Physiology (10 papers), Neuroscience and Neural Engineering (8 papers), Bioenergy crop production and management (7 papers), Agriculture, Plant Science, Crop Management (6 papers), Photoreceptor and optogenetics research (5 papers), Wheat and Barley Genetics and Pathology (4 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Internal Medicine (275 citations), Hepatology (207 citations), Ophthalmology (215 citations), Health, Toxicology and Mutagenesis (296 citations) and Cellular and Molecular Neuroscience (331 citations). M. Phillips has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Machelle T. Pardue, Jacinthe Leclerc, Wolfgang Linden, Willis C. Maddrey, S.S. Sidney, Jeffrey H. Boatright, C L Mendenhall, Philippe Mathurin, Alexandre Louvet and Marie-José Ramond. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Genetics in Medicine, International Journal of Environmental Research and Public Health, Journal of Hepatology and Annals of Human Genetics.

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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