G. F. Barker

1.1k total citations · 1 hit paper
7 papers, 890 citations indexed

About

G. F. Barker is a scholar working on Hematology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, G. F. Barker has authored 7 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 3 papers in Molecular Biology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in G. F. Barker's work include Acute Myeloid Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). G. F. Barker is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). G. F. Barker collaborates with scholars based in United States. G. F. Barker's co-authors include Todd R. Golub, Patricia Bray‐Ward, D. Gary Gilliland, Scott W. Hiebert, Stefan K. Bohlander, Elaine Morgan, Susana C. Raimondi, David C. Ward, Janet D. Rowley and Karen Beemon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Molecular and Cellular Biology.

In The Last Decade

G. F. Barker

7 papers receiving 871 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fusion of the TEL gene on 12p13 to the AML1 gene on 21q22 in acute lymphoblastic leukemia.

1995 604 citations Todd R. Golub, G. F. Barker et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
G. F. Barker United States	7	530	507	345	104	99	7	890
TR Golub United States	6	274 0.5×	426 0.8×	458 1.3×	103 1.0×	82 0.8×	7	708
OA Haas Austria	15	407 0.8×	656 1.3×	369 1.1×	128 1.2×	221 2.2×	18	904
Alanna M. Harden United States	9	925 1.7×	623 1.2×	289 0.8×	150 1.4×	117 1.2×	9	1.3k
Peter H. Domer United States	16	581 1.1×	336 0.7×	196 0.6×	130 1.3×	73 0.7×	20	951
MO Diaz United States	15	442 0.8×	493 1.0×	300 0.9×	197 1.9×	133 1.3×	22	929
Koyu Hoshino United States	12	543 1.0×	452 0.9×	125 0.4×	88 0.8×	112 1.1×	21	739
JD Rowley United States	10	311 0.6×	520 1.0×	225 0.7×	105 1.0×	202 2.0×	10	808
Marina Lafage France	16	296 0.6×	446 0.9×	125 0.4×	111 1.1×	146 1.5×	41	728
Margit König Austria	19	412 0.8×	667 1.3×	541 1.6×	150 1.4×	137 1.4×	43	1.1k
Cathy M. Price United Kingdom	10	437 0.8×	239 0.5×	209 0.6×	224 2.2×	140 1.4×	14	827

Countries citing papers authored by G. F. Barker

Since Specialization

Citations

This map shows the geographic impact of G. F. 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 G. F. Barker 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. Barker more than expected).

Fields of papers citing papers by G. F. Barker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. F. Barker

This figure shows the co-authorship network connecting the top 25 collaborators of G. F. Barker. A scholar is included among the top collaborators of G. F. Barker 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. Barker. G. F. Barker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Lü, Dan, Michael P. Gallagher, Carolyn Y. Ho, et al.. (1997). CBFA2, frequently rearranged in leukemia, is not responsible for a familial leukemia syndrome. Leukemia. 11(12). 2111–2119. 11 indexed citations

2.

Golub, Todd R., G. F. Barker, Kimberly Stegmaier, & D. Gary Gilliland. (1997). The TEL Gene Contributes to the Pathogenesis of Myeloid and Lymphoid Leukemias by Diverse Molecular Genetic Mechanisms. Current topics in microbiology and immunology. 220. 67–79. 37 indexed citations

3.

Golub, Todd R., G. F. Barker, Kimberly Stegmaier, & D. Gary Gilliland. (1996). Involvement of the TEL Gene in Hematologic Malignancy by Diverse Molecular Genetic Mechanisms. Current topics in microbiology and immunology. 211. 279–288. 32 indexed citations

4.

Stegmaier, Kimberly, Shona Pendse, G. F. Barker, et al.. (1995). Frequent loss of heterozygosity at the TEL gene locus in acute lymphoblastic leukemia of childhood. Blood. 86(1). 38–44. 101 indexed citations

5.

Golub, Todd R., G. F. Barker, Stefan K. Bohlander, et al.. (1995). Fusion of the TEL gene on 12p13 to the AML1 gene on 21q22 in acute lymphoblastic leukemia.. Proceedings of the National Academy of Sciences. 92(11). 4917–4921. 604 indexed citations breakdown →

6.

Barker, G. F. & Karen Beemon. (1994). Rous sarcoma virus RNA stability requires an open reading frame in the gag gene and sequences downstream of the gag-pol junction.. Molecular and Cellular Biology. 14(3). 1986–1996. 37 indexed citations

7.

Barker, G. F. & Karen Beemon. (1991). Nonsense codons within the Rous sarcoma virus gag gene decrease the stability of unspliced viral RNA.. Molecular and Cellular Biology. 11(5). 2760–2768. 68 indexed citations

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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