Martina Komor

3.3k citations
25 papers · 2.5k indexed · 1 hit paper · h-index 15
Topics
Acute Myeloid Leukemia Research (10 papers)Epigenetics and DNA Methylation (5 papers)Chronic Myeloid Leukemia Treatments (5 papers)

In The Last Decade

Martina Komor

25 papers receiving 2.5k citations

Hit Papers

Tumor-Associated Lymphocytes As an Independent Predictor ...200920262014202020094008001.2k

Peers

Martina Komor
Comparison fields: 5 of 93
  • Oncology 1.6k
  • Cancer Research 744
  • Immunology 668
  • Molecular Biology 586
  • Hematology 438
Replace Arne Östman with:
Arne Östman Sweden
Todd Hembrough United States
Kolja Eppert Canada
Ester Fonsatti Italy
Angelo Agathanggelou United Kingdom
Yutaka Kawakami Japan
Matthias Kotzsch Germany
Ann Cleverly United States
Tobias Dechow Germany
Susanna Cappia Italy
Martina Komor relative to Arne Östman Sweden Arne Östman's profile →
Citations per field
00.5×2.8×
Arne Östman · 1×
Citations per year

Countries citing papers authored by Martina Komor

Since Specialization
Citations

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

Fields of papers citing papers by Martina Komor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Komor

This figure shows the co-authorship network connecting the top 25 collaborators of Martina Komor. A scholar is included among the top collaborators of Martina Komor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martina Komor. Martina Komor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 20
3 398
4 6
5 91
6 38
7 1
8
Tumor-Associated Lymphocytes As an Independent Predictor of Response to Neoadjuvant Chemotherapy in Breast Cancerbreakdown →
1295
9 17
10 3
11 11
12 29
13 1
14 13
15 7
16 60
17 40
18 91
19 75
20 179

About Martina Komor

Martina Komor is a scholar working on Hematology, Genetics and Cancer Research, having authored 25 papers that have together received 2.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (10 papers), Epigenetics and DNA Methylation (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). The work is most often cited by research in Oncology (1.6k citations), Cancer Research (744 citations) and Hematology (438 citations). Martina Komor has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Sibylle Loibl, Gϋnter von Minckwitz, Marc Roller, Iris Schrader, Dieter Hoelzer, Silvia Darb‐Esfahani, Jan Budczies, Wilko Weichert, Berit Müller and Carsten Denkert. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Cell Biology and Blood.

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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