Thea Kalebic

2.1k citations
60 papers · 1.6k · h-index 21

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 5
    • HER2/EGFR in Cancer Research 5
    • Colorectal Cancer Treatments and Studies 5
    • Peptidase Inhibition and Analysis 5

Thea Kalebic

58 papers receiving 1.6k citations

Peers

Thea Kalebic
Comparison fields: 5 of 91
  • Virology 108
  • Endocrinology, Diabetes and Metabolism 314
  • Cancer Research 215
  • Oncology 346
  • Genetics 100
Replace Nella Prevete with:
Nella Prevete Italy
Sabine Wrenger Germany
Andrea Gsur Austria
C. Christian Johansson Sweden
Hideji Nakamura Japan
Kiyohiko Hatake Japan
Oliver Krenkel Germany
Julia Rolf United Kingdom
Atsushi Hosui Japan
Grzegorz Kurzawski Poland
Thea Kalebic relative to Nella Prevete Italy Nella Prevete's profile →
Citations per field
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Citations per year

Countries citing papers authored by Thea Kalebic

Since Specialization
Citations

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

Fields of papers citing papers by Thea Kalebic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991273
2 1997196
3
In vivo treatment with antibody against IGF-1 receptor suppresses growth of human rhabdomyosarcoma and down-regulates p34cdc2.
1994151
4 199583
5 200972
6 199764
7 199560
8 200656
9 199655
10 200651
11
Novel anticancer function of inositol hexaphosphate: inhibition of human rhabdomyosarcoma in vitro and in vivo.
199849
12 199845
13 201138
14 201636
15 201535
16 199031
17 201731
18 201728
19 200327
20 199621

About Thea Kalebic

Thea Kalebic is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Pulmonary and Respiratory Medicine, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (14 papers), Chronic Lymphocytic Leukemia Research (12 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), HER2/EGFR in Cancer Research (5 papers), Colorectal Cancer Treatments and Studies (5 papers), Peptidase Inhibition and Analysis (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Sarcoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Virology (108 citations), Endocrinology, Diabetes and Metabolism (314 citations), Cancer Research (215 citations), Oncology (346 citations) and Genetics (100 citations). Thea Kalebic has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Lee J. Helman, Derek LeRoith, Anthony S. Fauci, Guido Poli, Mary E. Anderson, A Meister, Audrey Kinter, Derek LeRoith, Vicky A. Blakesley and Jeffrey A. Toretsky. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer Research, Investigational New Drugs and International Journal of Cancer.

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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