Д. К. Текеев

425 total citations
22 papers, 290 citations indexed

About

Д. К. Текеев is a scholar working on Plant Science, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Д. К. Текеев has authored 22 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 13 papers in Nature and Landscape Conservation and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Д. К. Текеев's work include Ecology and Vegetation Dynamics Studies (13 papers), Botany and Plant Ecology Studies (12 papers) and Tree-ring climate responses (3 papers). Д. К. Текеев is often cited by papers focused on Ecology and Vegetation Dynamics Studies (13 papers), Botany and Plant Ecology Studies (12 papers) and Tree-ring climate responses (3 papers). Д. К. Текеев collaborates with scholars based in Russia, Netherlands and Tajikistan. Д. К. Текеев's co-authors include В. Г. Онипченко, Johannes H. C. Cornelissen, Tatiana G. Elumeeva, Nadejda A. Soudzilovskaia, А. Д. Кожевникова, М. И. Макаров, V. B. Ivanov, Richard S. P. van Logtestijn, Yan Wu and Sergey V. Dudov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Ecology and Ecology Letters.

In The Last Decade

Д. К. Текеев

20 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Д. К. Текеев Russia	8	152	114	93	80	73	22	290
David Schellenberger Costa Germany	9	221 1.5×	78 0.7×	163 1.8×	74 0.9×	33 0.5×	13	344
Jane G. Smith United States	9	110 0.7×	140 1.2×	85 0.9×	59 0.7×	55 0.8×	13	341
Sarah E. Stehn United States	9	71 0.5×	78 0.7×	112 1.2×	66 0.8×	91 1.2×	24	290
Karel Boublík Czechia	10	210 1.4×	165 1.4×	104 1.1×	114 1.4×	67 0.9×	25	408
Sabrina Backhaus Germany	7	208 1.4×	135 1.2×	63 0.7×	216 2.7×	113 1.5×	7	387
B. M. Fernandez-Going United States	7	258 1.7×	99 0.9×	165 1.8×	110 1.4×	27 0.4×	7	368
Lotte Korell Germany	9	139 0.9×	87 0.8×	100 1.1×	73 0.9×	18 0.2×	18	279
László Gálhidy Hungary	5	233 1.5×	112 1.0×	59 0.6×	155 1.9×	56 0.8×	7	358
Sonia G. Rabasa Spain	10	239 1.6×	101 0.9×	161 1.7×	107 1.3×	70 1.0×	16	375
Dai Nagamatsu Japan	9	256 1.7×	136 1.2×	98 1.1×	156 1.9×	42 0.6×	18	411

Countries citing papers authored by Д. К. Текеев

Since Specialization

Citations

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

Fields of papers citing papers by Д. К. Текеев

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Д. К. Текеев. 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 Д. К. Текеев. The network helps show where Д. К. Текеев may publish in the future.

Co-authorship network of co-authors of Д. К. Текеев

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ulanova, Nina G., et al.. (2025). Long-Term Monitoring of Population Structure: Alpine Short-Lived Perennials on the Verge of Stability. Biology Bulletin Reviews. 15(1). 37–53.

Logofet, Dmitrii O., et al.. (2024). Thirteen Years of Monitoring a Local Population of Eritrichium caucasicum: Stochastic Growth Rate under Reproductive Uncertainty. Biology Bulletin Reviews. 14(1). 73–84. 2 indexed citations

Онипченко, В. Г., et al.. (2023). Impact of litter burning on alpine <i>Festuca varia</i> grasslands of the Northwestern Caucasus. 84(4). 313–326.

Онипченко, В. Г., et al.. (2023). Leaf Functional Traits Are Important for the Formation of Alpine Plant Community Composition. Biology Bulletin Reviews. 13(3). 228–237. 2 indexed citations

Onipchenko, V. G., et al.. (2021). Analysis of Fine Root Production Features in High Mountain Communities by Ingrowth Method using Filter Balls. Contemporary Problems of Ecology. 14(5). 456–464. 1 indexed citations

Elumeeva, Tatiana G., et al.. (2021). Long-term natural dynamics of an alpine lichen heath in the Teberda State Biosphere Reserve, northwestern Caucasus. Botany. 99(10). 609–618. 1 indexed citations

Dudov, Sergey V., et al.. (2020). Functional Diversity of Alpine Plant Communities: A Case Study of Plant Height. Biology Bulletin Reviews. 10(5). 464–474. 2 indexed citations

Onipchenko, V. G., Liesje Mommer, Richard S. P. van Logtestijn, et al.. (2020). Snow roots: Where are they and what are they for?. Ecology. 102(3). e03255–e03255. 1 indexed citations

Текеев, Д. К., et al.. (2020). Resource Regulation of the Regrow Capacity of Plants in Alpine Heaths: Factorial Experiment. Russian Journal of Ecology. 51(5). 408–416. 1 indexed citations

10.

Dudov, Sergey V., et al.. (2019). Competitive Strategy of Subalpine Tall-Grass Species of the Northwestern Caucasus. Moscow University Biological Sciences Bulletin. 74(3). 140–146. 10 indexed citations

11.

Текеев, Д. К., et al.. (2018). Plant Mycorrhiza under Extreme Conditions of Snow Beds Alpine Communities in Armenia. Biology Bulletin Reviews. 8(5). 401–405. 3 indexed citations

12.

Текеев, Д. К., et al.. (2016). Rate of microsuccessions: Structure and floristic richness recovery after turf transplantation in alpine plant communities. Biology Bulletin Reviews. 6(5). 400–411. 1 indexed citations

13.

Онипченко, В. Г., et al.. (2015). Age of maturity in alpine herbaceous perennials in the northwest Caucasus. Biology Bulletin Reviews. 5(5). 505–511. 7 indexed citations

14.

Soudzilovskaia, Nadejda A., et al.. (2013). Functional traits predict relationship between plant abundance dynamic and long-term climate warming. Proceedings of the National Academy of Sciences. 110(45). 18180–18184. 173 indexed citations

15.

Elumeeva, Tatiana G., et al.. (2013). Life-form composition of alpine plant communities at the Eastern Qinghai-Tibetan plateau. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 148(5). 988–994. 8 indexed citations

16.

Elumeeva, Tatiana G., et al.. (2013). Long-term vegetation dynamic in the Northwestern Caucasus: which communities are more affected by upward shifts of plant species?. Alpine Botany. 123(2). 77–85. 20 indexed citations

17.

Онипченко, В. Г., М. И. Макаров, А. Д. Кожевникова, et al.. (2013). Digging deep to open the white black box of snow root phenology. Ecological Research. 29(4). 529–534. 11 indexed citations

18.

Онипченко, В. Г., et al.. (2013). Viability of buried seeds from alpine plant communities (Northwest Caucasus): Results of a five-year experiment. Biology Bulletin Reviews. 3(3). 241–245. 3 indexed citations

19.

Текеев, Д. К., et al.. (2012). Integral assessment of the regrow capacity of alpine plants. Moscow University Biological Sciences Bulletin. 67(1). 31–35. 7 indexed citations

20.

Онипченко, В. Г., М. И. Макаров, Richard S. P. van Logtestijn, et al.. (2009). New nitrogen uptake strategy: specialized snow roots. Ecology Letters. 12(8). 758–764. 29 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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