K. Nedelkov

529 total citations
32 papers, 335 citations indexed

About

K. Nedelkov is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, K. Nedelkov has authored 32 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Agronomy and Crop Science, 10 papers in Genetics and 9 papers in Animal Science and Zoology. Recurrent topics in K. Nedelkov's work include Ruminant Nutrition and Digestive Physiology (19 papers), Reproductive Physiology in Livestock (12 papers) and Genetic and phenotypic traits in livestock (10 papers). K. Nedelkov is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (19 papers), Reproductive Physiology in Livestock (12 papers) and Genetic and phenotypic traits in livestock (10 papers). K. Nedelkov collaborates with scholars based in Bulgaria, United States and United Kingdom. K. Nedelkov's co-authors include A.N. Hristov, A. Melgar, J. Oh, S.E. Räisänen, Xianjiang Chen, M.T. Harper, Stéphane Duval, Cristian Marlon de Magalhães Rodrigues Martins, M.E. Fetter and S.F. Cueva and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Dairy Science.

In The Last Decade

K. Nedelkov

29 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Nedelkov Bulgaria 10 267 83 64 52 40 32 335
Lifeng Dong China 10 215 0.8× 78 0.9× 49 0.8× 42 0.8× 53 1.3× 25 319
Abderzak Lettat France 7 354 1.3× 63 0.8× 84 1.3× 62 1.2× 37 0.9× 8 404
Héctor Gutiérrez Bañuelos Mexico 8 207 0.8× 95 1.1× 42 0.7× 27 0.5× 30 0.8× 31 327
Isabela Pena Carvalho de Carvalho Brazil 13 327 1.2× 101 1.2× 111 1.7× 52 1.0× 35 0.9× 31 400
Christelle Loncke France 9 295 1.1× 108 1.3× 101 1.6× 44 0.8× 19 0.5× 15 380
Irmgard Immig Germany 10 265 1.0× 104 1.3× 59 0.9× 33 0.6× 22 0.6× 18 356
Shirley Motta de Souza Brazil 9 355 1.3× 90 1.1× 87 1.4× 43 0.8× 50 1.3× 26 456
A.M. Saleem Egypt 13 284 1.1× 156 1.9× 65 1.0× 36 0.7× 56 1.4× 40 451
Cristian Marlon de Magalhães Rodrigues Martins Brazil 12 360 1.3× 114 1.4× 108 1.7× 47 0.9× 36 0.9× 32 454
Alexandre Lima Ferreira Brazil 11 217 0.8× 112 1.3× 63 1.0× 49 0.9× 54 1.4× 32 385

Countries citing papers authored by K. Nedelkov

Since Specialization
Citations

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

Fields of papers citing papers by K. Nedelkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Nedelkov

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

All Works

20 of 20 papers shown
1.
Cantalapiedra-Hijar, Gonzalo, K. Nedelkov, P. Crosson, & M. McGee. (2024). Some plasma biomarkers of residual feed intake in beef cattle remain consistent regardless of intake level. Scientific Reports. 14(1). 8540–8540. 3 indexed citations
2.
3.
Oh, J., M.T. Harper, A. Melgar, et al.. (2021). Dietary supplementation with rumen-protected capsicum during the transition period improves the metabolic status of dairy cows. Journal of Dairy Science. 104(11). 11609–11620. 22 indexed citations
4.
Indugu, Nagaraju, Meagan L. Hennessy, S.E. Räisänen, et al.. (2021). Comparing noninvasive sampling techniques with standard cannula sampling method for ruminal microbial analysis. SHILAP Revista de lepidopterología. 2(6). 329–333. 5 indexed citations
5.
Indugu, Nagaraju, Meagan L. Hennessy, Bonnie Vecchiarelli, et al.. (2021). Using Structural Equation Modeling to Understand Interactions Between Bacterial and Archaeal Populations and Volatile Fatty Acid Proportions in the Rumen. Frontiers in Microbiology. 12. 611951–611951. 13 indexed citations
6.
Räisänen, S.E., J. Oh, A. Melgar, et al.. (2021). Histidine dose-response effects on lactational performance and plasma amino acid concentrations in lactating dairy cows: 1. Metabolizable protein-adequate diet. Journal of Dairy Science. 104(9). 9902–9916. 7 indexed citations
7.
Ganchev, G., et al.. (2020). influence of different inclusion levels of corn dried distillers grains with solubles (DDGS) in the diet of growing pigs on the digestibility of nutrients.. Bulgarian Journal of Agricultural Science. 26. 83–89. 1 indexed citations
8.
9.
Melgar, A., K. Nedelkov, S.E. Räisänen, et al.. (2020). Enteric methane emission, milk production, and composition of dairy cows fed 3-nitrooxypropanol. Journal of Dairy Science. 104(1). 357–366. 57 indexed citations
10.
Nedelkov, K., et al.. (2019). Variability in rumen degradability and intestinal digestibility of sunflower meals protein. Bulgarian Journal of Agricultural Science. 25(2). 370–374.
11.
Harper, M.T., J. Oh, A. Melgar, et al.. (2019). Production effects of feeding extruded soybean meal to early-lactation dairy cows. Journal of Dairy Science. 102(10). 8999–9016. 12 indexed citations
12.
Nedelkov, K.. (2019). In situ Evaluation of Ruminal Degradability and Intestinal Digestibility of Sunflower Meal Compared to Soybean Meal. Iranian journal of applied animal science. 9(3). 395–400. 3 indexed citations
13.
Nedelkov, K., M.T. Harper, A. Melgar, et al.. (2018). Acceptance of flavored concentrate premixes by young ruminants following a short-term exposure. Journal of Dairy Science. 102(1). 388–394. 6 indexed citations
14.
Harper, M.T., A. Melgar, J. Oh, et al.. (2018). Inclusion of brown midrib dwarf pearl millet silage in the diet of lactating dairy cows. Journal of Dairy Science. 101(6). 5006–5019. 13 indexed citations
15.
Nedelkov, K., et al.. (2017). IN SITU RUMEN DEGRADABILITY AND INTESTINAL DIGESTIBILITY OF TWO DIFFERENT TYPES OF RAPESEED MEAL. Bulgarian Journal of Agricultural Science. 23(3). 462–466.
16.
Ganchev, G., et al.. (2017). EFFECT OF PHYSICAL FORM OF STARTER FEED ON INTAKE, GROWTH RATE, BEHAVIOR AND HEALTH STATUS OF FEMALE DAIRY CALVES. Bulgarian Journal of Agricultural Science. 3 indexed citations
17.
Nedelkov, K., et al.. (2017). COMPARISON OF DIFFERENT DIETARY PROTEIN SOURCES FOR DAIRY COWS. Bulgarian Journal of Agricultural Science. 2 indexed citations
18.
Ganchev, G., et al.. (2015). The effect of feeding different milk programs on dairy calf growth, health and development.. Bulgarian Journal of Agricultural Science. 21(2). 384–393. 8 indexed citations
19.
Nedelkov, K., et al.. (2015). Effects of VitaSil on proximate composition and some biochemical parameters of common carp (Cyprinus carpio L.).. 45(1). 7–12. 2 indexed citations
20.
Nedelkov, K., et al.. (2011). Non-hormonal synchronization of estrus in West Balkan Mountain sheep. Bulgarian Portal for Open Science. 3(1). 13–20. 3 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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