Ann Mullally

7.6k citations
81 papers · 3.9k indexed · h-index 30
  • Hematology top 0.2%
    • Acute Myeloid Leukemia Research 28
    • Chronic Myeloid Leukemia Treatments 24
    • Autoimmune and Inflammatory Disorders Research 3
  • Genetics top 0.2%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 57
    • Chronic Lymphocytic Leukemia Research 5
    • Eosinophilic Disorders and Syndromes 20
    • Kruppel-like factors research 23
  • Immunology top 5%
    • Erythrocyte Function and Pathophysiology 3

Ann Mullally

77 papers receiving 3.9k citations

Peers

Ann Mullally
Comparison fields: 5 of 102
  • Hematology 2.3k
  • Genetics 2.1k
  • Rheumatology 739
  • Molecular Biology 2.1k
  • Immunology 605
Replace Valeria Visconte with:
Valeria Visconte United States
Eibhlin Conneally Ireland
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Enrico Gottardi Italy
AC Eaves Canada
J. Thiele Germany
Koiti Inokuchi Japan
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Juan Luis Garcı́a Spain
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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-authorship network

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
#Work
1 20240
2 20234
3 202213
4 202211
5 202255
6 20214
7 20218
8 202060
9 202010
10 202022
11 202017
12 20171
13 201721
14 2016189
15 2016263
16 201524
17 2013126
18 201249
19 20109
20 2010285

About Ann Mullally

Ann Mullally is a scholar working on Genetics, Hematology, Rheumatology, Molecular Biology and Immunology, having authored 81 papers that have together received 3.9k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (57 papers), Acute Myeloid Leukemia Research (28 papers), Chronic Myeloid Leukemia Treatments (24 papers), Kruppel-like factors research (23 papers), Eosinophilic Disorders and Syndromes (20 papers), Chronic Lymphocytic Leukemia Research (5 papers), Erythrocyte Function and Pathophysiology (3 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). The work is most often cited by research in Hematology (2.3k citations), Genetics (2.1k citations), Rheumatology (739 citations), Molecular Biology (2.1k citations) and Immunology (605 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 Haematologica.

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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