Barbara Mora

5.2k citations
55 papers · 1.5k · h-index 21

Impact in

    • Celiac Disease Research and Management
  • Genetics top 2%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 24
    • Acute Myeloid Leukemia Research 8
    • Chronic Myeloid Leukemia Treatments 8

Barbara Mora

52 papers receiving 1.5k citations

Peers

Barbara Mora
Comparison fields: 5 of 90
  • Gastroenterology 655
  • Genetics 325
  • Hematology 197
  • Immunology 334
  • Epidemiology 288
Replace Emiko Komura with:
Emiko Komura Japan
Mehran Ghaderi Sweden
Qiang Shi China
Hemlata Varsani United Kingdom
Thomas Haas United States
Rosario Alberto Caruso Italy
J. Awad United Kingdom
Ingrid Simonitsch Austria
Emanuela Garelli Italy
Erica van Oort Netherlands
Barbara Mora relative to Emiko Komura Japan Emiko Komura's profile →
Citations per field
00.5×5.8×
Emiko Komura · 1×
Citations per year

Countries citing papers authored by Barbara Mora

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Barbara Mora, 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 Barbara Mora Line = papers co-authored together Barbara Mora 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 2007215
2 2008142
3 2004142
4 1997124
5 201476
6 200872
7 200664
8 202155
9 202254
10 200450
11 202141
12 200339
13 202031
14 200430
15 201130
16 200828
17 200524
18 201322
19 201621
20 201521

About Barbara Mora

Barbara Mora is a scholar working on Genetics, Hematology, Molecular Biology, Gastroenterology and Immunology, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (24 papers), Celiac Disease Research and Management (15 papers), Kruppel-like factors research (12 papers), Acute Myeloid Leukemia Research (8 papers), Chronic Myeloid Leukemia Treatments (8 papers), T-cell and B-cell Immunology (5 papers), Eosinophilic Disorders and Syndromes (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Gastroenterology (655 citations), Genetics (325 citations), Hematology (197 citations), Immunology (334 citations) and Epidemiology (288 citations). Barbara Mora has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Maria Cristina Mazzilli, Margherita Bonamico, Francesca Megiorni, Francesco Passamonti, Raffaella Nenna, P. Mariani, Mirella Ferri, Claudio Tiberti, M. Barbato and Fabio Massimo Magliocca. Their work appears in journals such as Blood, Journal of Pediatric Gastroenterology and Nutrition, Human Immunology, Current Hematologic Malignancy Reports and Best Practice & Research Clinical Haematology.

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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