DG Gilliland

2.8k citations
19 papers · 2.0k indexed · h-index 15
Topics
Acute Myeloid Leukemia Research (7 papers)Chronic Myeloid Leukemia Treatments (5 papers)Chronic Lymphocytic Leukemia Research (3 papers)

In The Last Decade

DG Gilliland

19 papers receiving 2.0k citations

Peers

DG Gilliland
Comparison fields: 5 of 71
  • Hematology 1.2k
  • Molecular Biology 744
  • Public Health, Environmental and Occupational Health 484
  • Genetics 473
  • Immunology 400
Replace Bodil Strömbeck with:
Bodil Strömbeck Sweden
K Michalová Czechia
D Arthur United States
A. Hagemeijer Netherlands
O. Margaret Garson Australia
Roberta La Starza Italy
A J Carroll United States
Gerlinde Mitterbauer Austria
Susanne Viehmann Germany
Zuzana Zemanová Czechia
DG Gilliland relative to Bodil Strömbeck Sweden Bodil Strömbeck's profile →
Citations per field
00.5×1.5×1.8×
Bodil Strömbeck · 1×
Citations per year

Countries citing papers authored by DG Gilliland

Since Specialization
Citations

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

Fields of papers citing papers by DG Gilliland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by DG Gilliland. 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 DG Gilliland. The network helps show where DG Gilliland may publish in the future.

Co-authorship network of co-authors of DG Gilliland

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 177
2
PKC412, inhibitor of the KIT tyrosine kinase, demonstrates efficacy in mast cell leukemia with the D816V KIT mutation.
6
3 62
4 44
5
Molecular genetics of human leukemia.
36
6 15
7 11
8 88
9 382
10 252
11 200
12 382
13 82
14 66
15 111
16 7
17 62
18 38
19
A model system involving anti-concanavalin A for antibody targeting of diphtheria toxin fragment A1.
14

About DG Gilliland

DG Gilliland is a scholar working on Hematology, Genetics and Immunology, having authored 19 papers that have together received 2.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (473 citations) and Immunology (400 citations). DG Gilliland has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Lambert Busque, Normand Blais, N Blais, TR Golub, Taku Seriu, Seisho Takeuchi, Sarah Ringold, Ramana Tantravahi, Jerome Ritz and SE Sallan. Their work appears in journals such as Blood, Leukemia and Bone Marrow Transplantation.

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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