G F Barnard

1.7k citations
26 papers · 1.5k indexed · h-index 18
Topics
Genetic factors in colorectal cancer (5 papers)Molecular Biology Techniques and Applications (3 papers)Cancer, Lipids, and Metabolism (3 papers)

In The Last Decade

G F Barnard

26 papers receiving 1.4k citations

Peers

G F Barnard
Comparison fields: 5 of 82
  • Molecular Biology 673
  • Oncology 540
  • Surgery 358
  • Cancer Research 344
  • Pulmonary and Respiratory Medicine 182
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Yoshifumi Nakayama Japan
Lars Damstrup Denmark
Reiko Makino Japan
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Dai Shimizu Japan
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G F Barnard relative to Yoshifumi Nakayama Japan Yoshifumi Nakayama's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by G F Barnard

Since Specialization
Citations

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

Fields of papers citing papers by G F Barnard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G F Barnard

This figure shows the co-authorship network connecting the top 25 collaborators of G F Barnard. A scholar is included among the top collaborators of G F Barnard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G F Barnard. G F Barnard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Hepatoma-derived growth factor is associated with reduced sensitivity to irradiation in esophageal cancer.
46
2 17
3 43
4 39
5 41
6 92
7 155
8 3
9 15
10 10
11 3
12
Detection of cancer micrometastases in lymph nodes by reverse transcriptase-polymerase chain reaction.
320
13 187
14
PCR product sequencing with [alpha-33P] and [alpha-32P]dATP.
14
15
Prothymosin-alpha mRNA expression correlates with that of c-myc in human colon cancer.
95
16
Increased expression of human ribosomal phosphoprotein P0 messenger RNA in hepatocellular carcinoma and colon carcinoma.
88
17 72
18 21
19 28
20 16

About G F Barnard

G F Barnard is a scholar working on Cancer Research, Hepatology and Pathology and Forensic Medicine, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (5 papers), Molecular Biology Techniques and Applications (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (344 citations), Oncology (540 citations) and Molecular Biology (673 citations). G F Barnard has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Masaki Mori, Ueo H, K. Tsuji, Koshi Mimori, Tsuyoshi Akiyoshi, Shigeru Nanbara, Hideki Inoue, Lan Bo Chen, G Steele and Raymond J. Staniunas. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Clinical Oncology.

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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