Kris Doney

1.4k citations
18 papers · 902 indexed · h-index 14

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 13
    • Acute Myeloid Leukemia Research 3
    • Chronic Myeloid Leukemia Treatments 3

Kris Doney

18 papers receiving 869 citations

Peers

Kris Doney
Comparison fields: 5 of 50
  • Hematology 756
  • Transplantation 87
  • Genetics 202
  • Immunology 275
  • Oncology 214
Replace NH Russell with:
NH Russell United Kingdom
Razvan Diaconescu United States
Karin Kolbe Germany
JM Hows United Kingdom
Seung‐Ah Yahng South Korea
Emmanuel Thomas United States
PB McGlave United States
Arjun Law Canada
Amin Alousi United States
J Bruton United States
Kris Doney relative to NH Russell United Kingdom NH Russell's profile →
Citations per field
00.5×3.1×
NH Russell · 1×
Citations per year

Countries citing papers authored by Kris Doney

Since Specialization
Citations

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

Fields of papers citing papers by Kris Doney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20225
2 20214
3 201882
4 201735
5 201217
6 201035
7 200312
8 200360
9 200247
10 2002120
11 200213
12 2001139
13 2001113
14 199652
15 199331
16 199227
17 198441
18 197969

About Kris Doney

Kris Doney is a scholar working on Hematology, Transplantation, Genetics, Oncology and Rheumatology, having authored 18 papers that have together received 902 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (13 papers), Polyomavirus and related diseases (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Acute Myeloid Leukemia Research (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Transplantation: Methods and Outcomes (3 papers), T-cell and B-cell Immunology (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Hematology (756 citations), Transplantation (87 citations), Genetics (202 citations), Immunology (275 citations) and Oncology (214 citations). Kris Doney has collaborated with scholars based in United States and South Africa. Frequent co-authors include Rainer Storb, H. Joachim Deeg, Frederick R. Appelbaum, George E. Georges, Jean E. Sanders, Claudio Anasetti, Keith Sullivan, Paul J. Martin, Mary E.D. Flowers and Paul L. Weiden. Their work appears in journals such as Biology of Blood and Marrow Transplantation, British Journal of Haematology, Transplantation, Bone Marrow Transplantation and Human Immunology.

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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