Nadejda Valtcheva

1.6k citations
16 papers · 1.2k · h-index 12

Impact in

Papers in

Nadejda Valtcheva

15 papers receiving 1.1k citations

Peers

Nadejda Valtcheva
Comparison fields: 5 of 91
  • Obstetrics and Gynecology 171
  • Reproductive Medicine 105
  • Immunology 244
  • Pathology and Forensic Medicine 171
  • Cancer Research 139
Replace Jacinthe Sirois with:
Jacinthe Sirois Canada
Ping Duan China
Aleksandra V. Borodkina Russia
Hung‐Pei Tsai Taiwan
Per Antonson Sweden
Hua Teng China
Noël Lamandé France
Lucia Centurione Italy
Jean-Louis Danan France
Esw Ngan Hong Kong
Nadejda Valtcheva relative to Jacinthe Sirois Canada Jacinthe Sirois's profile →
Citations per field
00.5×2.8×
Jacinthe Sirois · 1×
Citations per year

Countries citing papers authored by Nadejda Valtcheva

Since Specialization
Citations

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

Fields of papers citing papers by Nadejda Valtcheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2011296
2 2014246
3 2009187
4 2011164
5 200784
6 201346
7 200834
8 201426
9 202022
10 201815
11 201615
12 201711
13 20213
14 20221
15 20171
16
PROGNOSTIC SIGNIFICANCE OF POLE EXONUCLEASE DOMAIN MUTATION IN EARLY STAGE ENDOMETRIAL CANCER
20140

About Nadejda Valtcheva

Nadejda Valtcheva is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Physiology and Genetics, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (2 papers), Renal and related cancers (2 papers), Receptor Mechanisms and Signaling (2 papers), CRISPR and Genetic Engineering (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Renal cell carcinoma treatment (1 paper), Cancer Genomics and Diagnostics (1 paper) and Respiratory Support and Mechanisms (1 paper). The work is most often cited by research in Obstetrics and Gynecology (171 citations), Reproductive Medicine (105 citations), Immunology (244 citations), Pathology and Forensic Medicine (171 citations) and Cancer Research (139 citations). Nadejda Valtcheva has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Robert Feil, Susanne Feil, Jürgen Brück, Kamran Ghoreschi, Martin Röcken, Peter J. Wild, Aurelia Noske, Ivana Glocova, David N. Church and Frédéric Amant. Their work appears in journals such as Journal of Biological Chemistry, JNCI Journal of the National Cancer Institute, Genes Chromosomes and Cancer, Journal of Molecular Diagnostics and BMC 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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