Larisa Nonn

3.8k citations
69 papers · 2.9k indexed · h-index 30

Impact in

Papers in

Larisa Nonn

68 papers receiving 2.9k citations

Peers

Larisa Nonn
Comparison fields: 5 of 117
  • Cancer Research 772
  • Pathology and Forensic Medicine 640
  • Nutrition and Dietetics 355
  • Molecular Biology 1.5k
  • Biochemistry 102
Replace Shaoyu Zhou with:
Shaoyu Zhou China
Karen Block United States
Jin H. Song United States
Durga Nand Tripathi India
Montserrat Rojo de la Vega United States
Anni Wärri Finland
Kazuaki Takaku Japan
Volkan I. Sayin Sweden
Michelle S. Johnson United States
Fei Zhao China
Larisa Nonn relative to Shaoyu Zhou China Shaoyu Zhou's profile →
Citations per field
00.5×3.0×
Shaoyu Zhou · 1×
Citations per year

Countries citing papers authored by Larisa Nonn

Since Specialization
Citations

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

Fields of papers citing papers by Larisa Nonn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20243
3 20232
4 20231
5 20223
6 20209
7 202023
8 201914
9 201836
10 201721
11 201642
12 201512
13 201460
14 201375
15 201338
16 20121
17 2011116
18 201099
19 200770
20 2006135

About Larisa Nonn

Larisa Nonn is a scholar working on Cancer Research, Pathology and Forensic Medicine, Biochemistry, Nutrition and Dietetics and Pulmonary and Respiratory Medicine, having authored 69 papers that have together received 2.9k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (18 papers), Vitamin D Research Studies (15 papers), MicroRNA in disease regulation (12 papers), Estrogen and related hormone effects (11 papers), Circular RNAs in diseases (9 papers), Cancer-related molecular mechanisms research (8 papers), Trace Elements in Health (7 papers) and Molecular Biology Techniques and Applications (6 papers). The work is most often cited by research in Cancer Research (772 citations), Pathology and Forensic Medicine (640 citations), Nutrition and Dietetics (355 citations), Molecular Biology (1.5k citations) and Biochemistry (102 citations). Larisa Nonn has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Garth Powis, Donna M. Peehl, David Feldman, Ryan Williams, Robert P. Erickson, Peter H. Gann, D M Peehl, Margareta Berggren, Shweta Dambal and Aruna V. Krishnan. Their work appears in journals such as Cancer Research, The Journal of Steroid Biochemistry and Molecular Biology, The Prostate, Journal of Visualized Experiments and Scientific Reports.

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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