P.C. Barber

3.0k citations
50 papers · 2.4k indexed · h-index 27

Impact in

Papers in

P.C. Barber

50 papers receiving 2.3k citations

Peers

P.C. Barber
Comparison fields: 5 of 109
  • Sensory Systems 523
  • Developmental Neuroscience 348
  • Cellular and Molecular Neuroscience 889
  • Neurology 210
  • Genetics 221
Replace Meng Inn Chuah with:
Meng Inn Chuah Australia
Ella Magal United States
Yasuhiro Manabe Japan
Roland Pochet Belgium
Marı́a Santacana Spain
Kazunori Toida Japan
Daniel J. Liebl United States
Reiji Semba Japan
Burkhard Schütz Germany
Dongjun Ren United States
P.C. Barber relative to Meng Inn Chuah Australia Meng Inn Chuah's profile →
Citations per field
00.5×1.5×1.9×
Meng Inn Chuah · 1×
Citations per year

Countries citing papers authored by P.C. Barber

Since Specialization
Citations

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

Fields of papers citing papers by P.C. Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The immunolocalization of protein gene product 9.5 using rabbit polyclonal and mouse monoclonal antibodies.
1988280
2 1998279
3 1982210
4 1974102
5 1982101
6 199885
7 197878
8 199375
9 198371
10 199569
11 198960
12 199659
13 199355
14 198552
15 198748
16 198847
17 199346
18
Neurogenesis and regeneration in the primary olfactory pathway of mammals.
198244
19 198343
20 199440

About P.C. Barber

P.C. Barber is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience, Genetics, Developmental Neuroscience and Neurology, having authored 50 papers that have together received 2.4k indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (13 papers), Glioma Diagnosis and Treatment (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Biochemical Analysis and Sensing Techniques (4 papers), Brain Metastases and Treatment (4 papers), Nerve injury and regeneration (3 papers), Receptor Mechanisms and Signaling (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Sensory Systems (523 citations), Developmental Neuroscience (348 citations), Cellular and Molecular Neuroscience (889 citations), Neurology (210 citations) and Genetics (221 citations). P.C. Barber has collaborated with scholars based in United Kingdom, Tanzania and United States. Frequent co-authors include Geoffrey Raisman, R.M. Lindsay, Richard J. Morris, Nicholas M. Barnes, V. P. Prasher, Elizabeth Fisher, Matthew J. Farrer, Anna M. Kessling, Spiros Sgouros and J. Rode. Their work appears in journals such as Brain Research, Neuroscience, Journal of Neurocytology, The Journal of Pathology and Journal of Neurology Neurosurgery & Psychiatry.

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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