G.H. Bourne

25 papers receiving 373 citations

Peers

G.H. Bourne
Comparison fields: 5 of 97
  • Aging 11
  • Animal Science and Zoology 59
  • Cellular and Molecular Neuroscience 72
  • Cell Biology 59
  • Endocrine and Autonomic Systems 23
Replace K. A. Burton with:
K. A. Burton United Kingdom
Floyd R. Skelton United States
M. M. Magalhães Portugal
Yoichi Tamai Japan
C. van Hardeveld Netherlands
Osamu Fujimori Japan
Elaine S. Coleman United States
Claude Léoty France
Il Jin Bak United States
G.H. Bourne relative to K. A. Burton United Kingdom K. A. Burton's profile →
Citations per field
00.5×3.7×
K. A. Burton · 1×
Citations per year

Countries citing papers authored by G.H. Bourne

Since Specialization
Citations

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

Fields of papers citing papers by G.H. Bourne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside G.H. Bourne, 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 G.H. Bourne Line = papers co-authored together G.H. Bourne links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1961153
2 196681
3 196528
4 196523
5
Histochemical studies on the distribution of alkaline and acid phosphatases and 5-nucleotidase in the cerebellum of rat.
196322
6 196317
7 195414
8 195512
9 196210
10 196310
11 19589
12 19639
13 19538
14 19627
15 19636
16 19595
17 19614
18 19653
19 19633
20 19632

About G.H. Bourne

G.H. Bourne is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Computational Theory and Mathematics and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 434 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Alkaline Phosphatase Research Studies (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Biochemical effects in animals (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Neuroscience of respiration and sleep (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Aging (11 citations), Animal Science and Zoology (59 citations), Cellular and Molecular Neuroscience (72 citations), Cell Biology (59 citations) and Endocrine and Autonomic Systems (23 citations). G.H. Bourne has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include K. Nandy, H. B. Tewari, T. R. Shanthaveerappa, Evelyn B. Beckett, I. W. Rowlands, J. C. Sloper, R. J. Harrison, L. Harrison Matthews, A.F. Baradi and E. C. Amoroso. Their work appears in journals such as Cells Tissues Organs, Nature, The Anatomical Record, Medicine & Science in Sports & Exercise and Pathobiology.

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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