Gabriela B. Iwanski

892 total citations
8 papers, 612 citations indexed

About

Gabriela B. Iwanski is a scholar working on Toxicology, Genetics and Genetics. According to data from OpenAlex, Gabriela B. Iwanski has authored 8 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Toxicology, 3 papers in Genetics and 2 papers in Genetics. Recurrent topics in Gabriela B. Iwanski's work include Bioactive Compounds and Antitumor Agents (3 papers), Advances in Cucurbitaceae Research (3 papers) and Acute Myeloid Leukemia Research (2 papers). Gabriela B. Iwanski is often cited by papers focused on Bioactive Compounds and Antitumor Agents (3 papers), Advances in Cucurbitaceae Research (3 papers) and Acute Myeloid Leukemia Research (2 papers). Gabriela B. Iwanski collaborates with scholars based in United States, Germany and Singapore. Gabriela B. Iwanski's co-authors include Nils H. Thoennissen, Der‐Horng Lee, H. Phillip Koeffler, Sam Abbassi, Ngan Doan, Jonathan Said, Melvin Toh, Ryoko Okamoto, Wei Xie and Patricia Lin and has published in prestigious journals such as Blood, Cancer Research and Oncogene.

In The Last Decade

Gabriela B. Iwanski

8 papers receiving 588 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gabriela B. Iwanski United States 7 294 227 140 92 86 8 612
Siu Wan Ip Taiwan 10 392 1.3× 41 0.2× 41 0.3× 102 1.1× 71 0.8× 10 730
Shingo Yogosawa Japan 19 629 2.1× 99 0.4× 53 0.4× 103 1.1× 180 2.1× 29 969
Meng-Wei Lin Taiwan 12 374 1.3× 41 0.2× 82 0.6× 157 1.7× 66 0.8× 12 650
Wen-Wen Huang Taiwan 16 469 1.6× 50 0.2× 60 0.4× 92 1.0× 78 0.9× 19 700
Scott L. Wehage United States 12 955 3.2× 63 0.3× 64 0.5× 132 1.4× 224 2.6× 14 1.2k
Fu-Shin Chueh Taiwan 22 576 2.0× 45 0.2× 62 0.4× 175 1.9× 105 1.2× 27 914
Nobuko Kawazoe Japan 7 553 1.9× 58 0.3× 71 0.5× 30 0.3× 68 0.8× 9 670
Jun-Shan Liu China 15 484 1.6× 33 0.1× 82 0.6× 63 0.7× 47 0.5× 26 731
Hye Sook Seo South Korea 14 230 0.8× 42 0.2× 45 0.3× 53 0.6× 28 0.3× 21 489
Peter D. Collin United States 19 236 0.8× 68 0.3× 48 0.3× 30 0.3× 72 0.8× 30 908

Countries citing papers authored by Gabriela B. Iwanski

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela B. Iwanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriela B. Iwanski. 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 Gabriela B. Iwanski. The network helps show where Gabriela B. Iwanski may publish in the future.

Co-authorship network of co-authors of Gabriela B. Iwanski

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela B. Iwanski. A scholar is included among the top collaborators of Gabriela B. Iwanski 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 Gabriela B. Iwanski. Gabriela B. Iwanski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Lee, Der‐Horng, Nils H. Thoennissen, Gabriela B. Iwanski, et al.. (2011). Synergistic effect of low-dose cucurbitacin B and low-dose methotrexate for treatment of human osteosarcoma. Cancer Letters. 306(2). 161–170. 48 indexed citations
2.
Iwanski, Gabriela B., Ngan Doan, Brandon Castor, et al.. (2010). Cucurbitacin B, a novel in vivo potentiator of gemcitabine with low toxicity in the treatment of pancreatic cancer. British Journal of Pharmacology. 160(4). 998–1007. 62 indexed citations
3.
Lee, Der‐Horng, Gabriela B. Iwanski, & Nils H. Thoennissen. (2010). Cucurbitacin: Ancient Compound Shedding New Light on Cancer Treatment. The Scientific World JOURNAL. 10. 413–418. 125 indexed citations
4.
Thoennissen, Nils H., Gabriela B. Iwanski, Ngan Doan, et al.. (2009). Cucurbitacin B Induces Apoptosis by Inhibition of the JAK/STAT Pathway and Potentiates Antiproliferative Effects of Gemcitabine on Pancreatic Cancer Cells. Cancer Research. 69(14). 5876–5884. 203 indexed citations
5.
Thoennissen, Nils H., James O’Kelly, Daning Lu, et al.. (2009). Capsaicin causes cell-cycle arrest and apoptosis in ER-positive and -negative breast cancer cells by modulating the EGFR/HER-2 pathway. Oncogene. 29(2). 285–296. 151 indexed citations
6.
Ocheni, Sunday, Gabriela B. Iwanski, Philippe Schafhausen, et al.. (2009). Characterisation of extramedullary relapse in patients with chronic myeloid leukemia in advanced disease after allogeneic stem cell transplantation. Leukemia & lymphoma. 50(4). 551–558. 13 indexed citations
7.
Nowak, Daniel, Norihiko Kawamata, Birte Niebuhr, et al.. (2009). The Pax5 Fusion Product Pax5-C20orf112 Causes Downregulation of Pre-B Cell Receptor Genes and Induces Differential Proliferation Patterns in B-Lymphoblastic Cell Lines.. Blood. 114(22). 1284–1284. 2 indexed citations
8.
Thoennissen, Nils H., Utz Krug, Der‐Horng Lee, et al.. (2009). Prevalence and Prognostic Impact of Allelic Imbalances Associated with Leukemic Transformation of Philadelphia Chromosome-Negative Myeloproliferative Neoplasms.. Blood. 114(22). 1280–1280. 8 indexed citations

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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