Michelle Dolan

2.0k citations
55 papers · 1.1k · h-index 17

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%

Papers in

    • Acute Myeloid Leukemia Research 15
    • Hematopoietic Stem Cell Transplantation 8
    • Chronic Myeloid Leukemia Treatments 7
    • Chronic Lymphocytic Leukemia Research 9
    • Genomic variations and chromosomal abnormalities 7

Michelle Dolan

52 papers receiving 1.0k citations

Peers

Michelle Dolan
Comparison fields: 5 of 85
  • Hematology 341
  • Genetics 188
  • Cell Biology 195
  • Pathology and Forensic Medicine 179
  • Urology 45
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Michelle Dolan relative to Ryuhei Tanaka Japan Ryuhei Tanaka's profile →
Citations per field
00.5×3.8×
Ryuhei Tanaka · 1×
Citations per year

Countries citing papers authored by Michelle Dolan

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Dolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010266
2 2009108
3 202063
4 200853
5 201644
6 201539
7 201039
8 200537
9 200235
10 201033
11 200231
12 201628
13 201622
14 201721
15 201220
16 201119
17 201116
18 200816
19 201115
20 201615

About Michelle Dolan

Michelle Dolan is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Chronic Lymphocytic Leukemia Research (9 papers), Acute Lymphoblastic Leukemia research (9 papers), Hematopoietic Stem Cell Transplantation (8 papers), HER2/EGFR in Cancer Research (7 papers), Genomic variations and chromosomal abnormalities (7 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Hematology (341 citations), Genetics (188 citations), Cell Biology (195 citations), Pathology and Forensic Medicine (179 citations) and Urology (45 citations). Michelle Dolan has collaborated with scholars based in United States, United Kingdom and Vietnam. Frequent co-authors include Erica D. Warlick, Daniel J. Weisdorf, Betsy Hirsch, Jakub Tolar, Adina Cioc, Todd E. DeFor, Troy C. Lund, John E. Wagner, John A. McGrath and Douglas R. Keene. Their work appears in journals such as American Journal of Clinical Pathology, Archives of Pathology & Laboratory Medicine, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation and Oral Surgery Oral Medicine Oral Pathology and Oral Radiology.

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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