D.R. Khusnutdinova

52 total papers · 451 total citations
29 papers, 216 citations indexed

About

D.R. Khusnutdinova is a scholar working on Molecular Biology, Infectious Diseases and Physiology. According to data from OpenAlex, D.R. Khusnutdinova has authored 29 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Infectious Diseases and 7 papers in Physiology. Recurrent topics in D.R. Khusnutdinova's work include Gut microbiota and health (15 papers), Probiotics and Fermented Foods (7 papers) and Clostridium difficile and Clostridium perfringens research (6 papers). D.R. Khusnutdinova is often cited by papers focused on Gut microbiota and health (15 papers), Probiotics and Fermented Foods (7 papers) and Clostridium difficile and Clostridium perfringens research (6 papers). D.R. Khusnutdinova collaborates with scholars based in Russia, United States and Germany. D.R. Khusnutdinova's co-authors include I. B. Kozlovskaya, Dimitry G. Sayenko, Maria Markelova, Tatiana V. Grigoryeva, Eugenia A. Boulygina, I. B. Kozlovskaya, D. R. Yarullina, О. Л. Виноградова, Sayar Abdulkhakov and Elizabeth Shenkman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and International Journal of Molecular Sciences.

In The Last Decade

D.R. Khusnutdinova

27 papers receiving 216 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
D.R. Khusnutdinova	88	81	37	28	25	29	216
I. A. Popova	156 1.8×	30 0.4×	10 0.3×	6 0.2×	55 2.2×	31	233
Cătălina Luca	54 0.6×	23 0.3×	9 0.2×	24 0.9×	9 0.4×	56	288
Tomoya Nakamura	86 1.0×	40 0.5×	16 0.4×	17 0.6×	14 0.6×	21	282
Anja Heider	71 0.8×	155 1.9×	34 0.9×	10 0.4×	21 0.8×	18	287
Clovis Chabert	56 0.6×	73 0.9×	7 0.2×	17 0.6×	14 0.6×	24	246
Wissam H. Joumaa	26 0.3×	74 0.9×	12 0.3×	11 0.4×	17 0.7×	39	282
Zhu Hong	100 1.1×	179 2.2×	39 1.1×	4 0.1×	18 0.7×	19	304
Andrea L. Henning	89 1.0×	96 1.2×	27 0.7×	7 0.3×	10 0.4×	20	311
Cheol-Hyun Kim	19 0.2×	99 1.2×	41 1.1×	16 0.6×	17 0.7×	55	285
Sandra T. Clarke	70 0.8×	113 1.4×	19 0.5×	8 0.3×	28 1.1×	14	325

Countries citing papers authored by D.R. Khusnutdinova

Since Specialization

Citations

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

Fields of papers citing papers by D.R. Khusnutdinova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.R. Khusnutdinova. 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 D.R. Khusnutdinova. The network helps show where D.R. Khusnutdinova may publish in the future.

Co-authorship network of co-authors of D.R. Khusnutdinova

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

All Works

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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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