P.H. Rabbitts

912 citations
14 papers · 771 indexed · h-index 9

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • Drug Transport and Resistance Mechanisms
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer Genomics and Diagnostics 3
    • Drug Transport and Resistance Mechanisms 2
    • Lung Cancer Research Studies 2

P.H. Rabbitts

13 papers receiving 741 citations

Peers

P.H. Rabbitts
Comparison fields: 5 of 72
  • Oncology 296
  • Cancer Research 150
  • Molecular Biology 491
  • Pathology and Forensic Medicine 95
  • Genetics 107
Replace Y.F. Wong with:
Y.F. Wong Hong Kong
Kiyohiro Hamatani Japan
B Endlich United States
Rudi Henriksen Sweden
C. Goldman Canada
Shee Loong Loke China
Isabelle Tigaud France
C. Wright United Kingdom
P. J. Fialkow United States
Wan-Li Liu China
P.H. Rabbitts relative to Y.F. Wong Hong Kong Y.F. Wong's profile →
Citations per field
00.5×1.6×
Y.F. Wong · 1×
Citations per year

Countries citing papers authored by P.H. Rabbitts

Since Specialization
Citations

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

Fields of papers citing papers by P.H. Rabbitts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.H. Rabbitts. 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 P.H. Rabbitts. The network helps show where P.H. Rabbitts may publish in the future.

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 200813
2 20078
3
Abnormalities of chromosome 5q correlate with morphologic features of better prognosis in clear cell renal carcinomas.
19951
4 1993209
5 199336
6 199212
7 19915
8 199040
9 198943
10
Sequence of a germ-line N-myc gene and amplification as a mechanism of activation.
198819
11 19880
12 19851
13 1985231
14 1985153

About P.H. Rabbitts

P.H. Rabbitts is a scholar working on Cancer Research, Oncology, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 14 papers that have together received 771 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer therapeutics and mechanisms (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Renal and related cancers (2 papers), Lung Cancer Research Studies (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Oncology (296 citations), Cancer Research (150 citations), Molecular Biology (491 citations), Pathology and Forensic Medicine (95 citations) and Genetics (107 citations). P.H. Rabbitts has collaborated with scholars based in United Kingdom, Sweden and Poland. Frequent co-authors include Terence H. Rabbitts, M.A. Stinson, A. Förster, G Sinha, P S Hasleton, Peter Ganly, V. Sundaresan, R.M. Rudd, N. M. Bleehen and J G Reeve. Their work appears in journals such as Lung Cancer, British Journal of Cancer, The EMBO Journal, The Journal of Pathology and Genes Chromosomes and Cancer.

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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