Philip B. Grace

1.6k citations
28 papers · 1.2k indexed · h-index 17

Philip B. Grace

28 papers receiving 1.2k citations

Peers

Philip B. Grace
Comparison fields: 5 of 86
  • Pathology and Forensic Medicine 643
  • Molecular Biology 381
  • Genetics 321
  • Endocrinology, Diabetes and Metabolism 244
  • Oncology 183
Replace Neeraja Sathyamoorthy with:
Neeraja Sathyamoorthy United States
Elizabeth A. Bowey United Kingdom
Nancy L. Booth United States
K. V. N. Rao United States
Linda Saxe Einbond United States
Henri O.F. Molhuizen Netherlands
Keishi Hata Japan
Roberto Ambra Italy
Masanobu Sakono Japan
A. C. Eldridge United States
Philip B. Grace relative to Neeraja Sathyamoorthy United States Neeraja Sathyamoorthy's profile →
Citations per field
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Neeraja Sathyamoorthy · 1×
Citations per year

Countries citing papers authored by Philip B. Grace

Since Specialization
Citations

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

Fields of papers citing papers by Philip B. Grace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip B. Grace. 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 Philip B. Grace. The network helps show where Philip B. Grace may publish in the future.

Co-authorship network of co-authors of Philip B. Grace

This figure shows the co-authorship network connecting the top 25 collaborators of Philip B. Grace. A scholar is included among the top collaborators of Philip B. Grace 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 Philip B. Grace. Philip B. Grace 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
#WorkIndexed citations
1 31
2 9
3 24
4 53
5
25OH vitamin D analysis by liquid chromatography tandem mass spectrometry: interpret results with caution
1
6 8
7 6
8 38
9 134
10 100
11 63
12 59
13 15
14 49
15 43
16 55
17 64
18 72
19 12
20 46

About Philip B. Grace

Philip B. Grace is a scholar working on Pathology and Forensic Medicine, Biochemistry and Biological Psychiatry, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Phytoestrogen effects and research (12 papers), Estrogen and related hormone effects (7 papers) and Tea Polyphenols and Effects (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (643 citations), Biochemistry (167 citations) and Endocrinology, Diabetes and Metabolism (244 citations). Philip B. Grace has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Sheila Bingham, James I. Taylor, Nigel P. Botting, Robert Luben, Kay‐Tee Khaw, Angela A. Mulligan, Nicholas J. Wareham, Philip Teale, Nick Day and Yen-Ling Low. Their work appears in journals such as Journal of Clinical Oncology, Analytical Biochemistry and Scientific Reports.

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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