Thea Kalebic

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

Impact in

Papers in

    • Chronic Myeloid Leukemia Treatments 15
    • Chronic Lymphocytic Leukemia Research 13

Thea Kalebic

58 papers receiving 1.6k citations

Peers

Thea Kalebic
Comparison fields: 5 of 91
  • Virology 116
  • Endocrinology, Diabetes and Metabolism 332
  • Cancer Research 238
  • Oncology 424
  • Genetics 118
Replace Nella Prevete with:
Nella Prevete Italy
Andrea Gsur Austria
C. Christian Johansson Sweden
Hideji Nakamura Japan
Kiyohiko Hatake Japan
Julia Rolf United Kingdom
Grzegorz Kurzawski Poland
Rongxiang Han United States
Torgun Wæhre Norway
Cristina Zennaro Italy
Thea Kalebic relative to Nella Prevete Italy Nella Prevete's profile →
Citations per field
00.5×1.5×2.3×
Nella Prevete · 1×
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-authorship network

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
#Work
1 201727
2 201731
3 201712
4 201635
5 201535
6 20132
7 201138
8 20092
9 20086
10 200651
11 200327
12 20031
13 199845
14 199764
15 199655
16 199621
17 199617
18
In vivo treatment with antibody against IGF-1 receptor suppresses growth of human rhabdomyosarcoma and down-regulates p34cdc2.
1994151
19 19949
20 199031

About Thea Kalebic

Thea Kalebic is a scholar working on Hematology, Genetics, Virology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (15 papers), Chronic Lymphocytic Leukemia Research (13 papers), Colorectal Cancer Treatments and Studies (8 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), HER2/EGFR in Cancer Research (7 papers), Sarcoma Diagnosis and Treatment (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Virology (116 citations), Endocrinology, Diabetes and Metabolism (332 citations), Cancer Research (238 citations), Oncology (424 citations) and Genetics (118 citations). Thea Kalebic has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Lee J. Helman, Derek LeRoith, A Meister, Anthony S. Fauci, Mary E. Anderson, Audrey Kinter, Guido Poli, Vicky A. Blakesley, Derek LeRoith and Jeffrey A. Toretsky. Their work appears in journals such as Blood, Journal of Clinical Oncology, Investigational New Drugs, Cancer Research 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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