Nadezhda Palova
- Insect Science top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Genetics top 10%
- Plant Science
- Infectious Diseases
- Co-authors
- Peter HristovBoyko NeovRositsa ShumkovaGeorgi RadoslavovMagdalena BaymakovaMassimo CiccozziIlia TsachevYayoi Kaneko
- Topics
- Genetic and phenotypic traits in livestock (6 papers)Plant and animal studies (6 papers)Insect and Pesticide Research (6 papers)
In The Last Decade
Nadezhda Palova
18 papers receiving 355 citations
Hit Papers
Peers
Comparison fields: 5 of 35
- Insect Science 309
- Ecology, Evolution, Behavior and Systematics 268
- Genetics 266
- Plant Science 28
- Infectious Diseases 15
Countries citing papers authored by Nadezhda Palova
This map shows the geographic impact of Nadezhda Palova'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 Nadezhda Palova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadezhda Palova more than expected).
Fields of papers citing papers by Nadezhda Palova
This network shows the impact of papers produced by Nadezhda Palova. 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 Nadezhda Palova. The network helps show where Nadezhda Palova may publish in the future.
Co-authorship network of co-authors of Nadezhda Palova
This figure shows the co-authorship network connecting the top 25 collaborators of Nadezhda Palova. A scholar is included among the top collaborators of Nadezhda Palova 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 Nadezhda Palova. Nadezhda Palova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 15 | |
| 9 | 3 | |
| 10 | Factors Associated with Honey Bee Colony Losses: A Mini-Reviewbreakdown → | 204 |
| 11 | 53 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | Influence of Pasture Composition and Weather Conditions on the Productivity and Behavioral Reactions of Pigs of East Balkan Breed | 0 |
| 17 | 5 | |
| 18 | East Balkan swine breed - current state and perspectives. | 1 |
| 19 | Quality and fatty acid profile of meat from pigs from the East Balkan breed reared in different habitats. | 2 |
| 20 | Comparative study of the effect of whole intact grain and compound feed on the productive performance of East Balkan pigs. I. Fattening ability. | 0 |
About Nadezhda Palova
Nadezhda Palova is a scholar working on Animal Science and Zoology, Genetics and Insect Science, having authored 21 papers that have together received 364 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (6 papers), Plant and animal studies (6 papers) and Insect and Pesticide Research (6 papers). The work is most often cited by research in Insect Science (309 citations), Ecology, Evolution, Behavior and Systematics (268 citations) and Genetics (266 citations). Nadezhda Palova has collaborated with scholars based in Bulgaria, Japan and Italy. Frequent co-authors include Peter Hristov, Boyko Neov, Rositsa Shumkova, Georgi Radoslavov, Magdalena Baymakova, Massimo Ciccozzi, Ilia Tsachev, Yayoi Kaneko, Ryuichi Masuda and Evgeniy Raichev. Their work appears in journals such as Bulletin of Entomological Research, Animals and Animal Genetics.
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.