Nikolai V. Ivanov

5.2k total citations · 1 hit paper
116 papers, 3.1k citations indexed

About

Nikolai V. Ivanov is a scholar working on Molecular Biology, Plant Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Nikolai V. Ivanov has authored 116 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 23 papers in Plant Science and 22 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Nikolai V. Ivanov's work include Air Quality and Health Impacts (17 papers), Smoking Behavior and Cessation (13 papers) and Plant tissue culture and regeneration (12 papers). Nikolai V. Ivanov is often cited by papers focused on Air Quality and Health Impacts (17 papers), Smoking Behavior and Cessation (13 papers) and Plant tissue culture and regeneration (12 papers). Nikolai V. Ivanov collaborates with scholars based in Switzerland, United States and Germany. Nikolai V. Ivanov's co-authors include Manuel C. Peitsch, Nicolas Sierro, Julia Hoeng, Nicolas Bakaher, Florian Martin, James N. D. Battey, Sonia Ouadi, Lucien Bovet, Simon Goepfert and Emmanuel Guedj and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Nikolai V. Ivanov

115 papers receiving 3.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The tobacco genome sequence and its comparison with those of tomato and potato

2014 440 citations Nicolas Sierro, James N. D. Battey et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nikolai V. Ivanov Switzerland	33	1.5k	947	559	552	367	116	3.1k
Kazuo Kobayashi Japan	30	973 0.7×	435 0.5×	233 0.4×	250 0.5×	204 0.6×	134	2.8k
Paula A. Oliveira Portugal	31	1.6k 1.1×	193 0.2×	391 0.7×	228 0.4×	563 1.5×	252	4.0k
Long He China	27	1.2k 0.8×	517 0.5×	284 0.5×	113 0.2×	235 0.6×	100	3.4k
Marc Audebert France	32	1.9k 1.3×	395 0.4×	372 0.7×	562 1.0×	743 2.0×	58	3.4k
Wenbin Liu China	36	2.9k 2.0×	263 0.3×	711 1.3×	450 0.8×	740 2.0×	148	4.8k
Xuemei Ding China	34	1.0k 0.7×	989 1.0×	182 0.3×	100 0.2×	237 0.6×	258	4.1k
Fan Jiang China	27	1.2k 0.8×	348 0.4×	132 0.2×	184 0.3×	347 0.9×	72	3.5k
Jing Sun China	35	1.6k 1.1×	1.2k 1.3×	116 0.2×	118 0.2×	177 0.5×	165	3.8k
Zhihui Zhao China	33	1.4k 1.0×	382 0.4×	248 0.4×	123 0.2×	656 1.8×	221	3.6k
Hongrui Guo China	34	1.1k 0.8×	165 0.2×	195 0.3×	582 1.1×	400 1.1×	148	3.3k

Countries citing papers authored by Nikolai V. Ivanov

Since Specialization

Citations

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

Fields of papers citing papers by Nikolai V. Ivanov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nikolai V. Ivanov. 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 Nikolai V. Ivanov. The network helps show where Nikolai V. Ivanov may publish in the future.

Co-authorship network of co-authors of Nikolai V. Ivanov

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolai V. Ivanov. A scholar is included among the top collaborators of Nikolai V. Ivanov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nikolai V. Ivanov. Nikolai V. Ivanov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gottumukkala, Lalitha Devi, Giuseppe Lo Sasso, Walter K. Schlage, et al.. (2023). Process development for efficient pectin extraction from tobacco residues and its characterisation. Biomass Conversion and Biorefinery. 14(23). 29481–29501. 5 indexed citations

Pizzio, Gastón A., Jorge Lozano‐Juste, Victor García‐Carpintero, et al.. (2022). PYL1- and PYL8-like ABA Receptors of Nicotiana benthamiana Play a Key Role in ABA Response in Seed and Vegetative Tissue. Cells. 11(5). 795–795. 10 indexed citations

Ouadi, Sonia, Nicolas Sierro, Simon Goepfert, et al.. (2022). The clove (Syzygium aromaticum) genome provides insights into the eugenol biosynthesis pathway. Communications Biology. 5(1). 684–684. 21 indexed citations

Iskandar, Anita R., Aditya Reddy Kolli, Albert Giralt, et al.. (2021). Assessment of in vitro kinetics and biological impact of nebulized trehalose on human bronchial epithelium. Food and Chemical Toxicology. 157. 112577–112577. 6 indexed citations

Brothers, Michael, Steve Kim, А. П. Середа, et al.. (2021). Oil-Membrane Protection of Electrochemical Sensors for Fouling- and pH-Insensitive Detection of Lipophilic Analytes. ACS Applied Materials & Interfaces. 13(45). 53553–53563. 18 indexed citations

Sasso, Giuseppe Lo, Blaine Phillips, Alain Sewer, et al.. (2020). The reduction of DSS-induced colitis severity in mice exposed to cigarette smoke is linked to immune modulation and microbial shifts. Scientific Reports. 10(1). 3829–3829. 28 indexed citations

Giralt, Albert, Anita R. Iskandar, Florian Martin, et al.. (2020). Comparison of the biological impact of aerosol of e-vapor device with MESH® technology and cigarette smoke on human bronchial and alveolar cultures. Toxicology Letters. 337. 98–110. 12 indexed citations

Schlage, Walter K., Bjoern Titz, Anita R. Iskandar, et al.. (2020). Comparing the preclinical risk profile of inhalable candidate and potential candidate modified risk tobacco products: A bridging use case. Toxicology Reports. 7. 1187–1206. 7 indexed citations

Isaev, Artem, Nicolas Sierro, Ido Yosef, et al.. (2020). Phage T7 DNA mimic protein Ocr is a potent inhibitor of BREX defence. Nucleic Acids Research. 48(10). 5397–5406. 65 indexed citations

10.

Zanetti, Filippo, Xiaoyi Zhao, Walter K. Schlage, et al.. (2020). Analysis of chemical deposits on tooth enamel exposed to total particulate matter from cigarette smoke and tobacco heating system 2.2 aerosol by novel GC–MS deconvolution procedures. Journal of Chromatography B. 1152. 122228–122228. 14 indexed citations

11.

Potuschak, Thomas, Javier F. Palatnik, Carla Schommer, et al.. (2019). Inhibition of Arabidopsis thaliana CIN‐like TCP transcription factors by Agrobacterium T‐DNA‐encoded 6B proteins. The Plant Journal. 101(6). 1303–1317. 7 indexed citations

12.

Zanetti, Filippo, Alain Sewer, Bjoern Titz, et al.. (2019). Assessment of a 72-hour repeated exposure to Swedish snus extract and total particulate matter from 3R4F cigarette smoke on gingival organotypic cultures. Food and Chemical Toxicology. 125. 252–270. 9 indexed citations

13.

Iskandar, Anita R., Filippo Zanetti, Athanasios Kondylis, et al.. (2019). A lower impact of an acute exposure to electronic cigarette aerosols than to cigarette smoke in human organotypic buccal and small airway cultures was demonstrated using systems toxicology assessment. Internal and Emergency Medicine. 14(6). 863–883. 26 indexed citations

14.

Iskandar, Anita R., Florian Martin, Patrice Leroy, et al.. (2018). Comparative biological impacts of an aerosol from carbon-heated tobacco and smoke from cigarettes on human respiratory epithelial cultures: A systems toxicology assessment. Food and Chemical Toxicology. 115. 109–126. 27 indexed citations

15.

Morozova, Natalia, Nicolas Sierro, Artem Isaev, et al.. (2018). BREX system of Escherichia coli distinguishes self from non-self by methylation of a specific DNA site. Nucleic Acids Research. 47(1). 253–265. 82 indexed citations

16.

Poussin, Carine, Athanasios Kondylis, Diego Marescotti, et al.. (2018). In vitro systems toxicology-based assessment of the potential modified risk tobacco product CHTP 1.2 for vascular inflammation- and cytotoxicity-associated mechanisms promoting adhesion of monocytic cells to human coronary arterial endothelial cells. Food and Chemical Toxicology. 120. 390–406. 15 indexed citations

17.

González-Suárez, Ignacio, Diego Marescotti, Florian Martin, et al.. (2017). In Vitro Systems Toxicology Assessment of Nonflavored e-Cigarette Liquids in Primary Lung Epithelial Cells. 3(1). 41–55. 21 indexed citations

18.

Iskandar, Anita R., Florian Martin, Walter K. Schlage, et al.. (2017). Comparative effects of a candidate modified-risk tobacco product Aerosol and cigarette smoke on human organotypic small airway cultures: a systems toxicology approach. Toxicology Research. 6(6). 930–946. 20 indexed citations

19.

Ivanov, Nikolai V.. (2017). Pre-clinical and clinical studies in COPD and cardiovascular areas and the role of biomarkers. Journal of Cancer Science & Therapy.

20.

Zanetti, Filippo, Alain Sewer, Carole Mathis, et al.. (2016). Systems Toxicology Assessment of the Biological Impact of a Candidate Modified Risk Tobacco Product on Human Organotypic Oral Epithelial Cultures. Chemical Research in Toxicology. 29(8). 1252–1269. 47 indexed citations

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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