Olga Modlich

565 citations
11 papers · 490 · h-index 9

Impact in

    • Breast Cancer Treatment Studies
    • MicroRNA in disease regulation
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

Olga Modlich

11 papers receiving 478 citations

Peers

Olga Modlich
Comparison fields: 5 of 49
  • Cancer Research 109
  • Hematology 84
  • Pulmonary and Respiratory Medicine 89
  • Surgery 85
  • Molecular Biology 96
Replace Ge Yu with:
Ge Yu China
Ahmed R. Gomaa United States
Pernille A. Usher Denmark
Melanie Elizabeth Dujka United States
Abhaya V. Paladugu United States
Tokushi Tachiwada Japan
Zhihua Li China
Isabel Moreno Spain
Yifan Pang United States
Julia E. Breault United States
Olga Modlich relative to Ge Yu China Ge Yu's profile →
Citations per field
00.5×2×2.9×
Ge Yu · 1×
Citations per year

Countries citing papers authored by Olga Modlich

Since Specialization
Citations

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

Fields of papers citing papers by Olga Modlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2002128
2 200498
3 200456
4 200251
5 200646
6 200544
7
Predictive biological markers for response of invasive breast cancer to anthracycline/cyclophosphamide-based primary (radio-)chemotherapy.
200634
8 200615
9 20029
10 20067
11 20072

About Olga Modlich

Olga Modlich is a scholar working on Cancer Research, Otorhinolaryngology, Pulmonary and Respiratory Medicine, Hematology and Surgery, having authored 11 papers that have together received 490 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Aortic Disease and Treatment Approaches (2 papers), Bladder and Urothelial Cancer Treatments (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Head and Neck Cancer Studies (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Cancer Research (109 citations), Hematology (84 citations), Pulmonary and Respiratory Medicine (89 citations), Surgery (85 citations) and Molecular Biology (96 citations). Olga Modlich has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Hans Bojar, Hans-Bernd Prisack, Werner Audretsch, Marc Munnes, Uwe Ramp, Marc‐Oliver Grimm, Thomas Alexander Vögeli, Ulrich U. Steidl, Roland R. Fenk and Manuel A. Aivado. Their work appears in journals such as Clinical Cancer Research, Journal of Translational Medicine, Blood, Expert Opinion on Pharmacotherapy and Radiotherapy and Oncology.

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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