И. Иванова

2.8k citations
110 papers · 2.4k · h-index 31

Impact in

Papers in

    • Probiotics and Fermented Foods 66
    • Protein Hydrolysis and Bioactive Peptides 20
    • Gut microbiota and health 14
    • Genomics and Phylogenetic Studies 5

И. Иванова

105 papers receiving 2.3k citations

Peers

И. Иванова
Comparison fields: 5 of 104
  • Food Science 1.7k
  • Nutrition and Dietetics 838
  • Biotechnology 341
  • Animal Science and Zoology 281
  • Molecular Biology 1.2k
Replace Sanae Okada with:
Sanae Okada Japan
Elvira M. Hébert Argentina
Stijn Wittouck Belgium
Raúl R. Raya Argentina
Γεωργία Ζουμποπούλου Greece
Elisa Salvetti Italy
Thor Langsrud Norway
Jun-Sang Ham South Korea
Florence Valence France
Sylvie Lortal France
И. Иванова relative to Sanae Okada Japan Sanae Okada's profile →
Citations per field
00.5×2.8×
Sanae Okada · 1×
Citations per year

Countries citing papers authored by И. Иванова

Since Specialization
Citations

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

Fields of papers citing papers by И. Иванова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998137
2 1999131
3 2014103
4 200986
5 201076
6 200564
7 201764
8 200362
9 201560
10 200759
11 202259
12 200055
13 200955
14 200054
15 201154
16 202153
17 202148
18 201446
19 200645
20 201745

About И. Иванова

И. Иванова is a scholar working on Food Science, Molecular Biology, Nutrition and Dietetics, Biotechnology and Plant Science, having authored 110 papers that have together received 2.4k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (66 papers), Microbial Metabolites in Food Biotechnology (38 papers), Protein Hydrolysis and Bioactive Peptides (20 papers), Enzyme Production and Characterization (19 papers), Gut microbiota and health (14 papers), Meat and Animal Product Quality (11 papers), Microbial Natural Products and Biosynthesis (8 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Food Science (1.7k citations), Nutrition and Dietetics (838 citations), Biotechnology (341 citations), Animal Science and Zoology (281 citations) and Molecular Biology (1.2k citations). И. Иванова has collaborated with scholars based in Bulgaria, France and Brazil. Frequent co-authors include Svetoslav Dimitrov Todorov, Jean‐Marc Chobert, Xavier Dousset, Ilia Iliev, Svetla Danova, Penka Moncheva, Thomas Haertlé, Bernard Onno, Michèle Dalgalarrondo and Bernadette Dora Gombossy de Melo Franco. Their work appears in journals such as Journal of Applied Microbiology, Journal of Basic Microbiology, International Journal of Food Microbiology, European Food Research and Technology and Applied Biochemistry and Biotechnology.

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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