A.G. Baikie

2.7k citations
83 papers · 2.1k indexed · h-index 25

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
    • Genomic variations and chromosomal abnormalities

Papers in

    • Chronic Lymphocytic Leukemia Research 11
    • Genomic variations and chromosomal abnormalities 5

A.G. Baikie

80 papers receiving 1.7k citations

Peers

A.G. Baikie
Comparison fields: 5 of 121
  • Hematology 538
  • Genetics 425
  • Microbiology 24
  • Genetics 706
  • Developmental Biology 34
Replace W.M. Court Brown with:
W.M. Court Brown United Kingdom
Hanan Hamamy Switzerland
Maurice J. Mahoney United States
Laird G. Jackson United States
Leo P. ten Kate Netherlands
James G. Wilson United States
B.R. Reeves United Kingdom
CH Rodeck United Kingdom
Iris Schrijver United States
Karin J. Blakemore United States
A.G. Baikie relative to W.M. Court Brown United Kingdom W.M. Court Brown's profile →
Citations per field
00.5×1.5×1.9×
W.M. Court Brown · 1×
Citations per year

Countries citing papers authored by A.G. Baikie

Since Specialization
Citations

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

Fields of papers citing papers by A.G. Baikie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 197568
2 19722
3 19695
4 196827
5 196724
6 19676
7 19675
8 196624
9 196560
10 196355
11 1962102
12 1961182
13 196141
14 196149
15 1960127
16 1959228
17 195986
18 19592
19 195961
20 195419

About A.G. Baikie

A.G. Baikie is a scholar working on Microbiology, Genetics, Hematology, Genetics and Developmental Biology, having authored 83 papers that have together received 2.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (11 papers), Acute Myeloid Leukemia Research (6 papers), Neonatal Health and Biochemistry (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Chromosomal and Genetic Variations (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Hematology (538 citations), Genetics (425 citations), Microbiology (24 citations), Genetics (706 citations) and Developmental Biology (34 citations). A.G. Baikie has collaborated with scholars based in Australia, United Kingdom and South Korea. Frequent co-authors include W.M. Court Brown, D.G. Harnden, PatriciaA. Jacobs, A. S. D. Spiers, Ishbel M. Tough, W. M. COURT-BROWN, K.E. Buckton, N. Maclean, Alexander A. Morley and J Mcbride. Their work appears in journals such as The Lancet, The Medical Journal of Australia, Nature, British Journal of Cancer and British Journal of Haematology.

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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