Neil Phillips

1.8k citations
33 papers · 1.5k · h-index 19

Impact in

    • Escherichia coli research studies
  • Genetics top 5%
    • Mesenchymal stem cell research
    • Diabetes and associated disorders

Papers in

Neil Phillips

33 papers receiving 1.4k citations

Peers

Neil Phillips
Comparison fields: 5 of 98
  • Endocrinology 176
  • Genetics 305
  • Endocrinology, Diabetes and Metabolism 238
  • Surgery 521
  • Pathology and Forensic Medicine 179
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Rivkah Gonsky United States
Catherine Do United States
Kirsten A. Ward‐Hartstonge New Zealand
Harry Cuppens Belgium
Darren James Newton United Kingdom
Yuan Cao China
Hiroki Hori Japan
Cheryl Siew Choo Chan Singapore
Joshua N. Beilke United States
Leonid Izikson United States
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Citations per field
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Citations per year

Countries citing papers authored by Neil Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Neil Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010267
2 2017181
3 2005134
4 2017124
5 2004108
6 201871
7 201769
8 202058
9 201942
10 202141
11 200939
12 201037
13 201135
14 202234
15 201033
16 201128
17 201526
18 200921
19 200820
20 202116

About Neil Phillips

Neil Phillips is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Endocrinology and Genetics, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Pancreatic function and diabetes (6 papers), Pluripotent Stem Cells Research (3 papers), CAR-T cell therapy research (3 papers), Escherichia coli research studies (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Endocrinology (176 citations), Genetics (305 citations), Endocrinology, Diabetes and Metabolism (238 citations), Surgery (521 citations) and Pathology and Forensic Medicine (179 citations). Neil Phillips has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Vassilis E. Koronakis, Richard David Hayward, Sonja Schrepfer, Robert C. Robbins, Hermann C. Reichenspurner, T. Deuse, Mark A. Kay, John Rose, THOMAS H. EIERMANN and Hans‐Dieter Volk. Their work appears in journals such as British Journal of Haematology, Cell Metabolism, Blood, Journal of Applied Research in Intellectual Disabilities and Blood Advances.

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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