P E Barker

2.2k citations
32 papers · 1.8k indexed · 1 hit paper · h-index 22

P E Barker

32 papers receiving 1.7k citations

Hit Papers

Primary structure of c-kit: relationship with the CSF-1/P...6261988202620002013200400600

Peers

P E Barker
Comparison fields: 5 of 88
  • Immunology 445
  • Immunology and Allergy 116
  • Hematology 205
  • Molecular Biology 1.0k
  • Genetics 399
Replace J A Escobedo with:
J A Escobedo United States
N Odartchenko Switzerland
Fei-Hua Qiu United States
Ana V. Miletic United States
Tania Habib United States
Tetsuya Yamagata Japan
Tatsuo Kina Japan
Jiwang Zhang United States
Jørgen K. Larsen Denmark
Floyd E. Fox United States
P E Barker relative to J A Escobedo United States J A Escobedo's profile →
Citations per field
00.5×1.5×
J A Escobedo · 1×
Citations per year

Countries citing papers authored by P E Barker

Since Specialization
Citations

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

Fields of papers citing papers by P E Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 198934
2 198984
3
Primary structure of c-kit: relationship with the CSF-1/PDGF receptor kinase family-oncogenic activation of v-kit involves deletion of extracellular domain and C terminus.breakdown →
1988626
4
High molecular weight DNA from fixed cytogenetic preparations.
198616
5 19865
6 19856
7 198451
8
The PKU locus in man is on chromosome 12.
198442
9 198419
10 198432
11 198442
12 198447
13 198440
14 198345
15 198378
16 19831
17 198264
18 197937
19 197842
20 197727

About P E Barker

P E Barker is a scholar working on Molecular Biology, Cancer Research, Nutrition and Dietetics, Immunology and Immunology and Allergy, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (6 papers), RNA and protein synthesis mechanisms (5 papers), Cancer Genomics and Diagnostics (4 papers), RNA Research and Splicing (4 papers), DNA Repair Mechanisms (3 papers), Biochemical and Molecular Research (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Immunology (445 citations), Immunology and Allergy (116 citations), Hematology (205 citations), Molecular Biology (1.0k citations) and Genetics (399 citations). P E Barker has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include F.H. Ruddle, Partha Ray, SC Jhanwar, Peter Besmer, Fei-Hua Qiu, Kate Brown, Jeremy Ryan, T. C. Hsü, Frank H. Ruddle and Dimitrina D. Pravtcheva. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal, Cytogenetic and Genome Research, Experimental Cell Research and Nucleic Acids 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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