Andrews Df

480 citations
10 papers · 398 · h-index 7

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 3
    • Hematopoietic Stem Cell Transplantation 3
    • Acute Myeloid Leukemia Research 2
    • Mesenchymal stem cell research 2
    • Genetics and Neurodevelopmental Disorders 1

Andrews Df

10 papers receiving 384 citations

Peers

Andrews Df
Comparison fields: 5 of 48
  • Transplantation 44
  • Hematology 160
  • Genetics 72
  • Immunology 113
  • Nephrology 26
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Citations per field
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Citations per year

Countries citing papers authored by Andrews Df

Since Specialization
Citations

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

Fields of papers citing papers by Andrews Df

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Andrews Df, 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 Andrews Df Line = papers co-authored together Andrews Df links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Bone marrow transplant-associated thrombotic microangiopathy: a case series.
1995136
2 199768
3 198959
4 198949
5
Late graft failure due to dual bone marrow infection with variants A and B of human herpesvirus-6.
199546
6
Heterogeneity in expression of the bcr-abl fusion transcript in CML blast crisis.
198723
7
Differential expression of collagenase by human fibroblasts and bone marrow stromal cells.
19946
8 19895
9 19893
10
Risk estimation in X-linked recessive genetic diseases: theory and practice.
19863

About Andrews Df

Andrews Df is a scholar working on Hematology, Genetics, Genetics, Molecular Biology and Immunology, having authored 10 papers that have together received 398 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Acute Myeloid Leukemia Research (2 papers), Mesenchymal stem cell research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Transplantation (44 citations), Hematology (160 citations), Genetics (72 citations), Immunology (113 citations) and Nephrology (26 citations). Andrews Df has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include John Nemunaitis, Shadduck Rk, CS Rosenfeld, Jerald P. Radich, Jack W. Singer, E.D. Agura, SJ Collins, D. L. Weinbaum, A.H. Steinhart and Jeejeebhoy Kn. Their work appears in journals such as Blood, Gastroenterology and PubMed.

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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