Tamara Savchenko

569 citations
22 papers · 495 · h-index 12

Impact in

Papers in

Tamara Savchenko

22 papers receiving 461 citations

Peers

Tamara Savchenko
Comparison fields: 5 of 65
  • Biochemistry 48
  • Cellular and Molecular Neuroscience 128
  • Plant Science 220
  • Insect Science 69
  • Ecology, Evolution, Behavior and Systematics 92
Replace Ziyadilla Saatov with:
Ziyadilla Saatov Uzbekistan
Nianbai Fang United States
Nobushige Nishimoto Japan
M. B. Gorovits Uzbekistan
Stacey S.K. Tsang Hong Kong
Josef V. Jizba Czechia
Shuntaro Ogawa India
Eduardo Primo‐Yúfera Spain
Lyle Ralston United States
Raimana Ho French Polynesia
Tamara Savchenko relative to Ziyadilla Saatov Uzbekistan Ziyadilla Saatov's profile →
Citations per field
00.5×1.7×
Ziyadilla Saatov · 1×
Citations per year

Countries citing papers authored by Tamara Savchenko

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Savchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Tamara Savchenko, 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 Tamara Savchenko Line = papers co-authored together Tamara Savchenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001100
2 199762
3 200351
4 199942
5 200137
6 199728
7 200125
8 200021
9 199719
10 199719
11 199815
12 200214
13 199710
14 199810
15 199610
16 19989
17 19988
18 19988
19 20012
20 19992

About Tamara Savchenko

Tamara Savchenko is a scholar working on Cellular and Molecular Neuroscience, Plant Science, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Complementary and alternative medicine, having authored 22 papers that have together received 495 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), Natural product bioactivities and synthesis (6 papers), Plant and animal studies (5 papers), Phytochemistry and Biological Activities (5 papers), Plant biochemistry and biosynthesis (4 papers), Insect Pest Control Strategies (3 papers), Phytochemical compounds biological activities (3 papers) and Flowering Plant Growth and Cultivation (2 papers). The work is most often cited by research in Biochemistry (48 citations), Cellular and Molecular Neuroscience (128 citations), Plant Science (220 citations), Insect Science (69 citations) and Ecology, Evolution, Behavior and Systematics (92 citations). Tamara Savchenko has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Laurence N. Dinan, Pensri Whiting, Satyajit Dey Sarker, Vladimír Šik, René Lafont, Larisa Nikolayevna Zibareva and Huw H. Rees. Their work appears in journals such as Archives of Insect Biochemistry and Physiology, Phytochemistry, Biochemical Systematics and Ecology, Cellular and Molecular Life Sciences and Pesticide Science.

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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