Ann Mullally

7.8k citations
83 papers · 4.1k · h-index 31

Impact in

  • Genetics top 0.2%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • Hematology top 0.2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Autoimmune and Inflammatory Disorders Research

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 58
    • Chronic Lymphocytic Leukemia Research 5
    • Acute Myeloid Leukemia Research 28
    • Chronic Myeloid Leukemia Treatments 25
    • Platelet Disorders and Treatments 3

Ann Mullally

78 papers receiving 4.0k citations

Peers

Ann Mullally
Comparison fields: 5 of 101
  • Genetics 2.2k
  • Hematology 2.2k
  • Rheumatology 662
  • Molecular Biology 1.9k
  • Immunology 542
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Citations per field
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Citations per year

Countries citing papers authored by Ann Mullally

Since Specialization
Citations

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

Fields of papers citing papers by Ann Mullally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009306
2 2010304
3 2010292
4 2016266
5 2009248
6 2017203
7 2016196
8 2009179
9 2015162
10 2014140
11 2013132
12 2015115
13 2017112
14 2015104
15 201179
16 200678
17 201474
18 201469
19 201766
20 202063

About Ann Mullally

Ann Mullally is a scholar working on Genetics, Hematology, Molecular Biology, Rheumatology and Immunology, having authored 83 papers that have together received 4.1k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (58 papers), Acute Myeloid Leukemia Research (28 papers), Chronic Myeloid Leukemia Treatments (25 papers), Kruppel-like factors research (22 papers), Eosinophilic Disorders and Syndromes (20 papers), Chronic Lymphocytic Leukemia Research (5 papers), Platelet Disorders and Treatments (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Genetics (2.2k citations), Hematology (2.2k citations), Rheumatology (662 citations), Molecular Biology (1.9k citations) and Immunology (542 citations). Ann Mullally has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Benjamin L. Ebert, Rebekka K. Schneider, Ross L. Levine, Nancy Berliner, Adam J. Mead, Alison M. Schram, D. Gary Gilliland, Edwin Chen, Steven Lane and Fátima Al‐Shahrour. Their work appears in journals such as Blood, Leukemia, Blood Advances, Cancer Cell and Journal of Visualized Experiments.

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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