G. Graham

789 citations
15 papers · 663 · h-index 10

Impact in

  • Hematology top 2%
    • Iron Metabolism and Disorders
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders

Papers in

G. Graham

15 papers receiving 626 citations

Peers

G. Graham
Comparison fields: 5 of 75
  • Hematology 421
  • Genetics 291
  • Nutrition and Dietetics 182
  • Virology 42
  • Oncology 73
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Citations per field
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Citations per year

Countries citing papers authored by G. Graham

Since Specialization
Citations

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

Fields of papers citing papers by G. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside G. Graham, 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. Graham Line = papers co-authored together G. Graham links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1978362
2
Effect of recombinant GM-CSF on the metabolism of cytosine arabinoside in normal and leukemic human bone marrow cells.
198857
3 197950
4
The effect of recombinant human granulocyte-macrophage colony-stimulating factor (rGM-CSF) on 3'-azido-3'-deoxythymidine (AZT)-mediated biochemical and cytotoxic effects on normal human myeloid progenitor cells.
198947
5 198729
6 197523
7 199121
8 198917
9 198316
10 197816
11 19869
12 19767
13
Effect of deoxycytidine on the metabolism and cytotoxicity of 5-aza-2'-deoxycytidine and arabinosyl 5-azacytosine in normal and leukemic human myeloid progenitor cells.
19876
14
Continuously Administered 2',2'-Difluorodeoxycytidine (Dfdc) and Deoxycytidine (Dcyd) - a Potentially Selective Cyto-Toxic Regimen Toward Human-Leukemic Myeloid Progenitors in Culture
19882
15 19891

About G. Graham

G. Graham is a scholar working on Molecular Biology, Hematology, Infectious Diseases, Genetics and Organic Chemistry, having authored 15 papers that have together received 663 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (4 papers), HIV/AIDS drug development and treatment (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Biochemical and Molecular Research (3 papers), HIV Research and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Trace Elements in Health (1 paper). The work is most often cited by research in Hematology (421 citations), Genetics (291 citations), Nutrition and Dietetics (182 citations), Virology (42 citations) and Oncology (73 citations). G. Graham has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include George W. Bates, Eliezer A. Rachmilewitz, Chaim Hershko, Kapil N. Bhalla, Steven Grant, Martin Birkhofer, Z Arlin, Jose Lutzky, Joby Cole and Paul B. Fisher. Their work appears in journals such as Blood, British Journal of Haematology, Advances in experimental medicine and biology, American Journal of Hematology and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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