Olga Ab

1.4k citations
23 papers · 776 · h-index 11

Impact in

Papers in

Olga Ab

23 papers receiving 755 citations

Peers

Olga Ab
Comparison fields: 5 of 56
  • Oncology 577
  • Radiology, Nuclear Medicine and Imaging 398
  • Reproductive Medicine 90
  • Hematology 99
  • Genetics 49
Replace Kaori Fujimoto-Ouchi with:
Kaori Fujimoto-Ouchi United States
Joshua Z. Drago United States
Mischa Houtkamp Netherlands
Bart E.C.G. de Goeij Netherlands
Lisa M. Garrett United States
A A Epenetos United Kingdom
M. I. Colnaghi Italy
A. Lambiase Italy
Éric Charpentier United States
Klaus Brischwein Germany
Olga Ab relative to Kaori Fujimoto-Ouchi United States Kaori Fujimoto-Ouchi's profile →
Citations per field
00.5×8.2×
Kaori Fujimoto-Ouchi · 1×
Citations per year

Countries citing papers authored by Olga Ab

Since Specialization
Citations

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

Fields of papers citing papers by Olga Ab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010194
2 2015160
3 2018129
4 201690
5 201930
6 201930
7 202029
8 200419
9 201918
10
Efficacy of IMGN901 (huN901-DM1) in combination with bortezomib and lenalidomide against multiple myeloma cells in preclinical studies
200811
11 201911
12 202010
13 20199
14 20117
15
Abstract #2799: Combination therapy with IMGN901 and lenalidomide plus low-dose dexamethasone is highly effective in multiple myeloma xenograft models
20096
16 20195
17 20105
18 20115
19 20204
20 20241

About Olga Ab

Olga Ab is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Organic Chemistry and Hematology, having authored 23 papers that have together received 776 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (18 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Synthesis and pharmacology of benzodiazepine derivatives (5 papers), Cancer therapeutics and mechanisms (5 papers), Cancer Treatment and Pharmacology (4 papers), Multiple Myeloma Research and Treatments (3 papers), Cell Adhesion Molecules Research (2 papers) and Advanced Breast Cancer Therapies (2 papers). The work is most often cited by research in Oncology (577 citations), Radiology, Nuclear Medicine and Imaging (398 citations), Reproductive Medicine (90 citations), Hematology (99 citations) and Genetics (49 citations). Olga Ab has collaborated with scholars based in United States and Germany. Frequent co-authors include Jan Pinkas, Victor S. Goldmacher, Laura M. Bartle, Ravi Chari, Rajeeva Singh, Robert J. Lutz, Xiuxia Sun, Thomas Chittenden, Kathleen R. Whiteman and Yelena Kovtun. Their work appears in journals such as Cancer Research, ACS Medicinal Chemistry Letters, Molecular Cancer Therapeutics, Neoplasia and Molecular Pharmaceutics.

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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