N. I. Vorobyov

526 total citations
56 papers, 341 citations indexed

About

N. I. Vorobyov is a scholar working on Plant Science, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, N. I. Vorobyov has authored 56 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 9 papers in Agronomy and Crop Science and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in N. I. Vorobyov's work include Legume Nitrogen Fixing Symbiosis (31 papers), Nematode management and characterization studies (15 papers) and Plant Parasitism and Resistance (9 papers). N. I. Vorobyov is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (31 papers), Nematode management and characterization studies (15 papers) and Plant Parasitism and Resistance (9 papers). N. I. Vorobyov collaborates with scholars based in Russia, United Kingdom and United States. N. I. Vorobyov's co-authors include Н. А. Проворов, Е. Е. Андронов, Veronika N. Pishchik, Vladimir K. Chebotar, И. А. Тихонович, Elena P. Chizhevskaya, А. И. Шапошников, Б. В. Симаров, Olga S. Walsh and В. И. Сафронова and has published in prestigious journals such as SHILAP Revista de lepidopterología, Plant and Soil and Journal of Theoretical Biology.

In The Last Decade

N. I. Vorobyov

46 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. I. Vorobyov Russia 12 288 62 35 35 28 56 341
Sandra Helena Unêda‐Trevisoli Brazil 13 420 1.5× 80 1.3× 33 0.9× 35 1.0× 15 0.5× 50 465
Paul M. Kimani Kenya 12 521 1.8× 94 1.5× 39 1.1× 16 0.5× 13 0.5× 53 570
Macarena Gerding Chile 11 213 0.7× 72 1.2× 30 0.9× 26 0.7× 29 1.0× 30 299
Vasileios Greveniotis Greece 12 266 0.9× 77 1.2× 33 0.9× 43 1.2× 10 0.4× 37 312
Caiyun Xin China 9 268 0.9× 42 0.7× 63 1.8× 40 1.1× 13 0.5× 14 323
Elżbieta Czembor Poland 9 283 1.0× 27 0.4× 41 1.2× 30 0.9× 23 0.8× 33 331
Clare Mukankusi Uganda 15 621 2.2× 98 1.6× 29 0.8× 26 0.7× 11 0.4× 74 697
Filippo Guzzon Italy 12 245 0.9× 37 0.6× 79 2.3× 45 1.3× 13 0.5× 30 325
Josué Maldonado Ferreira Brazil 11 234 0.8× 52 0.8× 39 1.1× 15 0.4× 10 0.4× 25 285
G. Tusiime Uganda 14 575 2.0× 49 0.8× 87 2.5× 21 0.6× 11 0.4× 84 629

Countries citing papers authored by N. I. Vorobyov

Since Specialization
Citations

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

Fields of papers citing papers by N. I. Vorobyov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. I. Vorobyov. 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 N. I. Vorobyov. The network helps show where N. I. Vorobyov may publish in the future.

Co-authorship network of co-authors of N. I. Vorobyov

This figure shows the co-authorship network connecting the top 25 collaborators of N. I. Vorobyov. A scholar is included among the top collaborators of N. I. Vorobyov 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 N. I. Vorobyov. N. I. Vorobyov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Vorobyov, N. I., et al.. (2025). Neural Network Visualization of Stochastic Dependence of Weight Gain Processes on Dairy Productivity of Cows. Journal of Global Innovations in Agricultural Sciences. 691–697.
2.
Vorobyov, N. I., et al.. (2024). Computational neural network for processing light-reflective spectra of plants and remote phytosanitary monitoring of potatoes. SHILAP Revista de lepidopterología. 25(2). 283–292.
3.
Vorobyov, N. I., et al.. (2024). Use of a Humate–Sapropelic Suspension When Growing Sunn Hemp (Crotalaria juncea L.) in Protected Soil Conditions (Greenhouse). Doklady Earth Sciences. 516(1). 774–780. 1 indexed citations
4.
5.
Шапошников, А. И., et al.. (2023). Relationship between the Composition of Root Exsudates and the Efficiency of Interaction of Wheat Plants with Microorganisms. Прикладная биохимия и микробиология. 59(3). 260–274.
6.
7.
8.
Pishchik, Veronika N., et al.. (2018). EFFECT OF BIOLOGICALLY ACTIVE PREPARATIONS ON PRODUCTIVITY AND QUALITY OF SWEET PEPPER FRUITS IN CONTROLLED CONDITIONS. SHILAP Revista de lepidopterología. 81–85. 1 indexed citations
9.
Pishchik, Veronika N., et al.. (2016). Estimation of synergistic effect of humic fertilizer andBacillus subtilison lettuce plants by reflectance measurements. Journal of Plant Nutrition. 39(8). 1074–1086. 15 indexed citations
10.
Проворов, Н. А., И. А. Тихонович, & N. I. Vorobyov. (2016). Symbiogenesis as a model for reconstructing the early stages of genome evolution. Russian Journal of Genetics. 52(2). 117–124. 7 indexed citations
11.
Андронов, Е. Е., Anna A. Igolkina, Anastasiia K. Kimeklis, N. I. Vorobyov, & Н. А. Проворов. (2015). Characteristics of natural selection in populations of nodule bacteria (Rhizobium leguminosarum) interacting with different host plants. Russian Journal of Genetics. 51(10). 949–956. 8 indexed citations
12.
Vorobyov, N. I. & Н. А. Проворов. (2015). THE QUORUM SENSING AND THE NODULATION COMPETITIVENESS OF Rhizobia DURING INFECTION OF LEGUMINOUS PLANTS. Sel skokhozyaistvennaya Biologiya. 50(3). 298–304. 2 indexed citations
13.
14.
Vorobyov, N. I. & Н. А. Проворов. (2010). SIMULATION OF EVOLUTION OF THE LEGUME-RHIZOBIA SYMBIOSIS FOR AN IMPROVED FUNCTIONAL INTEGRITY OF PARTNERS AND FOR ECOLOGICAL EFFICIENCY OF THEIR INTERACTION. Ecological genetics. 8(3). 16–26. 6 indexed citations
15.
Проворов, Н. А. & N. I. Vorobyov. (2010). Simulation of evolution implemented in the mutualistic symbioses towards enhancing their ecological efficiency, functional integrity and genotypic specificity. Theoretical Population Biology. 78(4). 259–269. 11 indexed citations
16.
Pishchik, Veronika N., et al.. (2009). Interactions between plants and associated bacteria in soils contaminated with heavy metals. Microbiology. 78(6). 785–793. 16 indexed citations
17.
Проворов, Н. А. & N. I. Vorobyov. (2008). Equilibrium between the “genuine mutualists” and “symbiotic cheaters” in the bacterial population co-evolving with plants in a facultative symbiosis. Theoretical Population Biology. 74(4). 345–355. 13 indexed citations
18.
Проворов, Н. А. & N. I. Vorobyov. (2006). Interplay of Darwinian and frequency-dependent selection in the host-associated microbial populations. Theoretical Population Biology. 70(3). 262–272. 22 indexed citations
19.
Vorobyov, N. I. & Н. А. Проворов. (2005). Interplay of Darwinian and frequency-dependent selection in the host-associated microbial population. Ecological genetics. 3(3). 3–11. 2 indexed citations
20.
Проворов, Н. А. & N. I. Vorobyov. (2000). Population Genetics of Rhizobia: Construction and Analysis of an “Infection and Release” Model. Journal of Theoretical Biology. 205(1). 105–119. 30 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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