Lada A. Koneva

68 total papers · 1.0k total citations
22 papers, 676 citations indexed

About

Lada A. Koneva is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Lada A. Koneva has authored 22 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Epidemiology. Recurrent topics in Lada A. Koneva's work include Regional Socio-Economic Development Trends (4 papers), Indigenous Studies and Ecology (3 papers) and Arctic and Russian Policy Studies (3 papers). Lada A. Koneva is often cited by papers focused on Regional Socio-Economic Development Trends (4 papers), Indigenous Studies and Ecology (3 papers) and Arctic and Russian Policy Studies (3 papers). Lada A. Koneva collaborates with scholars based in United Kingdom, United States and Russia. Lada A. Koneva's co-authors include Maureen A. Sartor, Laura S. Rozek, Thomas E. Carey, Yanxiao Zhang, Gregory T. Wolf, Douglas B. Chepeha, Jonathan B. McHugh, Shama Virani, Stephen N. Sansom and Moustafa Attar and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Lada A. Koneva

22 papers receiving 675 citations

Author Peers

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

Author						Papers	Cites
Lada A. Koneva	263	207	189	123	111	22	676
Alan Valaperti	212 0.8×	258 1.2×	135 0.7×	92 0.7×	58 0.5×	26	743
Junji Tsuruta	159 0.6×	194 0.9×	205 1.1×	45 0.4×	44 0.4×	34	612
Samuel T. Pellom	214 0.8×	282 1.4×	241 1.3×	123 1.0×	39 0.4×	22	619
Francesca Pezzuto	362 1.4×	107 0.5×	109 0.6×	105 0.9×	266 2.4×	16	670
Scott D. Meredith	157 0.6×	74 0.4×	165 0.9×	58 0.5×	29 0.3×	15	766
Jutta Renkonen	234 0.9×	149 0.7×	82 0.4×	18 0.1×	42 0.4×	23	658
Y Decroix	162 0.6×	82 0.4×	194 1.0×	32 0.3×	58 0.5×	20	671
Sei Kyung Chang	163 0.6×	257 1.2×	251 1.3×	58 0.5×	52 0.5×	28	684
Giannoula Soufla	246 0.9×	58 0.3×	126 0.7×	97 0.8×	84 0.8×	33	646
Katarina Zeljić	326 1.2×	62 0.3×	69 0.4×	39 0.3×	179 1.6×	32	675

Countries citing papers authored by Lada A. Koneva

Since Specialization

Citations

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

Fields of papers citing papers by Lada A. Koneva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lada A. Koneva. 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 Lada A. Koneva. The network helps show where Lada A. Koneva may publish in the future.

Co-authorship network of co-authors of Lada A. Koneva

This figure shows the co-authorship network connecting the top 25 collaborators of Lada A. Koneva. A scholar is included among the top collaborators of Lada A. Koneva 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 Lada A. Koneva. Lada A. Koneva 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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