Ine Moors

680 citations
19 papers · 201 · h-index 8

Impact in

    • CAR-T cell therapy research
    • Neutropenia and Cancer Infections
    • Acute Myeloid Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 6
    • Fungal Infections and Studies 4
    • Mycobacterium research and diagnosis 2

Ine Moors

16 papers receiving 195 citations

Peers

Ine Moors
Comparison fields: 5 of 48
  • Oncology 124
  • Hematology 45
  • Immunology 52
  • Neurology 20
  • Clinical Biochemistry 12
Replace Kyung-Sue Shin with:
Kyung-Sue Shin South Korea
Nigel H. Timothy United States
Deepa Trivedi United States
Marc Lacour Switzerland
Yun Jin Kang South Korea
Moritz Anft Germany
Arpita Singhal India
Mariacristina Menconi Italy
P. Dighiero France
S Nakao Japan
Ine Moors relative to Kyung-Sue Shin South Korea Kyung-Sue Shin's profile →
Citations per field
00.5×
Kyung-Sue Shin · 1×
Citations per year

Countries citing papers authored by Ine Moors

Since Specialization
Citations

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

Fields of papers citing papers by Ine Moors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202367
2 200622
3 201921
4 202117
5 201816
6 201914
7 202413
8 201512
9 20247
10 20185
11 20132
12 20241
13
Blastic plasmacytoid dendritic cell neoplasm with skin, bone marrow involvement and transverse myelitis : a case report
20181
14 20251
15 20241
16 20221
17
Vaccination guidelines in hematopoietic transplant patients : recommendations from the BHS Transplant Committee
20140
18 20250
19 20220

About Ine Moors

Ine Moors is a scholar working on Hematology, Epidemiology, Oncology, Immunology and Infectious Diseases, having authored 19 papers that have together received 201 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Fungal Infections and Studies (4 papers), Antifungal resistance and susceptibility (4 papers), CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (3 papers), Eosinophilic Disorders and Syndromes (2 papers), Mycobacterium research and diagnosis (2 papers) and Neutropenia and Cancer Infections (2 papers). The work is most often cited by research in Oncology (124 citations), Hematology (45 citations), Immunology (52 citations), Neurology (20 citations) and Clinical Biochemistry (12 citations). Ine Moors has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Tessa Kerre, Philippe Lewalle, Nathalie Braun, Veerle De Herdt, Erik Alcantar-Orozco, Kristl Vonck, Paul Boon, Caroline Lonez, Ahmad Awada and Xavier Poiré. Their work appears in journals such as Blood, Clinical Infectious Diseases, Psycho-Oncology, Current Opinion in Critical Care and Journal of Clinical Microbiology.

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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