Melissa Phillips

2.1k citations
55 papers · 879 · h-index 17

Impact in

Papers in

Melissa Phillips

51 papers receiving 863 citations

Peers

Melissa Phillips
Comparison fields: 5 of 114
  • Biotechnology 172
  • Developmental Neuroscience 41
  • Cancer Research 118
  • Biological Psychiatry 15
  • Analytical Chemistry 61
Replace Yusuke Sato with:
Yusuke Sato Japan
Jianan Chen China
Dazhi Liu China
Ian F. Pryme Norway
Hong Xiao China
Gerhard Schwall Germany
Hiro-omi Tamura Japan
Aracely García‐García Mexico
Cheng Song China
Joaquín Fernández‐Irigoyen Spain
Melissa Phillips relative to Yusuke Sato Japan Yusuke Sato's profile →
Citations per field
00.5×4.1×
Yusuke Sato · 1×
Citations per year

Countries citing papers authored by Melissa Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013171
2 199878
3
Modern Size-Exclusion Liquid Chromatography: Practice of Gel Permeation and Gel Filtration Chromatography, 2nd edition, by A Striegel, WW Yau, JJ Kirkland, and DD Bly | NIST
201059
4 201351
5 201841
6 200140
7 201034
8 199731
9 201231
10 201829
11 198225
12 202023
13 201322
14 202221
15 201118
16 201618
17 201216
18 202115
19 201415
20 202012

About Melissa Phillips

Melissa Phillips is a scholar working on Biotechnology, Food Science, Molecular Biology, Genetics and Spectroscopy, having authored 55 papers that have together received 879 indexed citations. Recurring topics across this work include Cancer Research and Treatments (11 papers), Pesticide Residue Analysis and Safety (7 papers), Mycotoxins in Agriculture and Food (5 papers), Analytical Chemistry and Chromatography (5 papers), Virus-based gene therapy research (4 papers), Biochemical Analysis and Sensing Techniques (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Biotechnology (172 citations), Developmental Neuroscience (41 citations), Cancer Research (118 citations), Biological Psychiatry (15 citations) and Analytical Chemistry (61 citations). Melissa Phillips has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michael Sheaff, Peter W. Szlosarek, Stephen A. Wise, Kenneth M. Johnson, Kenneth M. Johnson, Cheng Wang, Golda Anne Kevetter, Catherine A. Rimmer, Katherine E. Sharpless and Chéng Wáng. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Journal of AOAC International, Journal of Clinical Oncology, Annals of Oncology and Cancer Research.

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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