M. Phillips

1.1k citations
13 papers · 681 · 1 hit paper · h-index 8

Impact in

Papers in

M. Phillips

12 papers receiving 656 citations

Hit Papers

External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients 2021 · 431 citations
4310+1+3Years since publication100200300400

Peers

M. Phillips
Comparison fields: 5 of 109
  • Health Informatics 191
  • Family Practice 44
  • Health Information Management 54
  • Artificial Intelligence 177
  • Nutrition and Dietetics 84
Replace Ke Lin with:
Ke Lin China
Yvonnick Bézie France
Chien‐Chin Hsu Taiwan
Benjamin Skov Kaas‐Hansen Denmark
Chih-Min Su Taiwan
Michael Usher United States
Robert Klempfner Israel
Niall MacCallum United Kingdom
Thomas Evers Germany
Yuk‐Lam Ho United States
M. Phillips relative to Ke Lin China Ke Lin's profile →
Citations per field
00.5×7.3×
Ke Lin · 1×
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

13 of 13 papers shown
#Work
1
External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients
Hit paper breakdown →
2021431
2 201066
3 197257
4 198639
5
Rapid degradation of disulfiram by serum albumin.
198333
6 199117
7 198316
8 20029
9 19735
10
Bile acid metabolism in mammals. IV. Sex difference in chenodeoxycholic acid metabolism in the rat.
19725
11 19722
12 19761
13 20250

About M. Phillips

M. Phillips is a scholar working on Nutrition and Dietetics, Molecular Biology, Oncology, Clinical Biochemistry and Physiology, having authored 13 papers that have together received 681 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (3 papers), Trace Elements in Health (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Iron Metabolism and Disorders (2 papers), Blood properties and coagulation (2 papers), Clinical Nutrition and Gastroenterology (2 papers), Diet and metabolism studies (2 papers) and Protein Interaction Studies and Fluorescence Analysis (2 papers). The work is most often cited by research in Health Informatics (191 citations), Family Practice (44 citations), Health Information Management (54 citations), Artificial Intelligence (177 citations) and Nutrition and Dietetics (84 citations). M. Phillips has collaborated with scholars based in United States, Australia and Jamaica. Frequent co-authors include Erkin Ötleş, Muhammad Ghous, Andrew E. Krumm, Jeffrey S. McCullough, John P. Donnelly, Karandeep Singh, Andrew Wong, D Picou, David M. Danks and James Camakaris. Their work appears in journals such as Health Affairs, Journal of Hospice and Palliative Nursing, Journal of Inherited Metabolic Disease, Biological Trace Element Research and American Journal of Clinical Nutrition.

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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