Kerol Bartolović

636 citations
14 papers · 479 · h-index 8

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 6
    • Acute Myeloid Leukemia Research 5
    • Hematopoietic Stem Cell Transplantation 2
    • Chronic Lymphocytic Leukemia Research 3
    • Blood disorders and treatments 2

Kerol Bartolović

14 papers receiving 471 citations

Peers

Kerol Bartolović
Comparison fields: 5 of 66
  • Hematology 126
  • Genetics 87
  • Modeling and Simulation 29
  • Infectious Diseases 92
  • Rheumatology 45
Replace Chiara Mandoj with:
Chiara Mandoj Italy
Erik Gaitzsch Germany
Sarah Warren Gooding United Kingdom
Andrew H. Matthews United States
Floris C. Loeff Netherlands
Joshua D. Brandstadter United States
Ana Marcos‐Jiménez Spain
Zsolt Matula Hungary
Elisa María Dorantes-Acosta Mexico
Maike Janssen Germany
Kerol Bartolović relative to Chiara Mandoj Italy Chiara Mandoj's profile →
Citations per field
00.5×2×4×5.7×
Chiara Mandoj · 1×
Citations per year

Countries citing papers authored by Kerol Bartolović

Since Specialization
Citations

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

Fields of papers citing papers by Kerol Bartolović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2020155
2 200386
3 200470
4 202344
5 200932
6 200225
7 200525
8 200324
9 20116
10 20175
11 20204
12 20091
13 20051
14 20221

About Kerol Bartolović

Kerol Bartolović is a scholar working on Hematology, Genetics, Physiology, Genetics and Infectious Diseases, having authored 14 papers that have together received 479 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (6 papers), Acute Myeloid Leukemia Research (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Single-cell and spatial transcriptomics (2 papers), Blood disorders and treatments (2 papers) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Hematology (126 citations), Genetics (87 citations), Modeling and Simulation (29 citations), Infectious Diseases (92 citations) and Rheumatology (45 citations). Kerol Bartolović has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Tim H. Brümmendorf, Hans‐Jörg Bühring, Stefan Balabanov, Lothar Kanz, Ulrike Hartmann, Wolf‐Karsten Hofmann, Dieter F. Hoelzer, Martina Komor, Robert Möhle and Andreas M. Boehmler. Their work appears in journals such as Blood, British Journal of Haematology, Stem Cells, Annals of the New York Academy of Sciences and Cytometry Part A.

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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