E Hatva

943 citations
8 papers · 786 · h-index 8

Impact in

Papers in

    • Cancer, Hypoxia, and Metabolism 4
    • Angiogenesis and VEGF in Cancer 3
    • Kruppel-like factors research 1
    • Melanoma and MAPK Pathways 1

E Hatva

8 papers receiving 766 citations

Peers

E Hatva
Comparison fields: 5 of 57
  • Obstetrics and Gynecology 178
  • Cancer Research 223
  • Immunology and Allergy 51
  • Genetics 75
  • Neurology 106
Replace Valeria Vincenti with:
Valeria Vincenti Italy
Bernd Kazmierczak Germany
Victoria A. Robb United States
S Vera Canada
Herman Van den Berghe Belgium
P Delli-Bovi United States
Wolfgang Röckl Germany
Petra Reusch Germany
Rosa Maria Alfano Italy
E Hatva relative to Valeria Vincenti Italy Valeria Vincenti's profile →
Citations per field
00.5×5.3×
Valeria Vincenti · 1×
Citations per year

Countries citing papers authored by E Hatva

Since Specialization
Citations

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

Fields of papers citing papers by E Hatva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside E Hatva, 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 E Hatva Line = papers co-authored together E Hatva links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1997212
2
Expression of endothelial cell-specific receptor tyrosine kinases and growth factors in human brain tumors.
1995171
3
Vascular growth factors and receptors in capillary hemangioblastomas and hemangiopericytomas.
1996102
4
Enhanced expression of the tie receptor tyrosine kinase mesenger RNA in the vascular endothelium of metastatic melanomas.
199499
5 199687
6 199675
7 199624
8
Vascular growth factors and receptors in capillary hemangioblastomas and hemangiopericytomas
199616

About E Hatva

E Hatva is a scholar working on Cancer Research, Molecular Biology, Oncology, Rheumatology and Genetics, having authored 8 papers that have together received 786 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Soft tissue tumor case studies (2 papers), Kruppel-like factors research (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Vascular Malformations Diagnosis and Treatment (1 paper), Vascular Tumors and Angiosarcomas (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Obstetrics and Gynecology (178 citations), Cancer Research (223 citations), Immunology and Allergy (51 citations), Genetics (75 citations) and Neurology (106 citations). E Hatva has collaborated with scholars based in Finland, Sweden and Italy. Frequent co-authors include Kari Alitalo, Matti Haltia, Arja Kaipainen, Juha E. Jääskeläinen, M. Graziella Persico, Tom Böhling, Athina Lymboussaki, Piia Vuorela, Erja Halmesmäki and Vladimir Joukov. Their work appears in journals such as Journal of Neuropathology & Experimental Neurology, British Journal of Cancer, The American Journal of Surgical Pathology, Biology of Reproduction and PubMed.

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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