D. Kolbehdari

1.7k total citations
10 papers, 260 citations indexed

About

D. Kolbehdari is a scholar working on Genetics, Plant Science and Cancer Research. According to data from OpenAlex, D. Kolbehdari has authored 10 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 4 papers in Plant Science and 4 papers in Cancer Research. Recurrent topics in D. Kolbehdari's work include Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Cancer-related molecular mechanisms research (4 papers). D. Kolbehdari is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Cancer-related molecular mechanisms research (4 papers). D. Kolbehdari collaborates with scholars based in Canada, United States and Iran. D. Kolbehdari's co-authors include Paul Stothard, S. S. Moore, Z. Wang, Elisa Marques, Aparna Prasad, Brenda M. Murdoch, Jason R. Grant, Zhihui Xiu, L.R. Schaeffer and J. A. B. Robinson and has published in prestigious journals such as Journal of Dairy Science, Genetics Selection Evolution and BMC Genetics.

In The Last Decade

D. Kolbehdari

10 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Kolbehdari Canada	8	236	68	59	55	28	10	260
Troy N. Rowan United States	7	185 0.8×	38 0.6×	44 0.7×	41 0.7×	26 0.9×	20	214
A.L.F. Lima Brazil	3	257 1.1×	73 1.1×	41 0.7×	32 0.6×	14 0.5×	7	276
Chuanyu Sun United States	5	296 1.3×	51 0.8×	38 0.6×	124 2.3×	60 2.1×	10	330
Bianca Ferreira Olivieri Brazil	7	234 1.0×	61 0.9×	58 1.0×	51 0.9×	38 1.4×	13	258
Rabia Letaïef France	6	225 1.0×	83 1.2×	57 1.0×	44 0.8×	55 2.0×	7	254
Jinyan Teng China	12	205 0.9×	69 1.0×	18 0.3×	45 0.8×	51 1.8×	27	268
Romain Dassonneville France	8	421 1.8×	60 0.9×	104 1.8×	173 3.1×	36 1.3×	9	443
Laís Grigoletto Brazil	10	218 0.9×	48 0.7×	76 1.3×	38 0.7×	10 0.4×	16	244
Masoumeh Naserkheil South Korea	10	242 1.0×	83 1.2×	51 0.9×	51 0.9×	28 1.0×	19	282
Xiaopeng Wang China	10	261 1.1×	83 1.2×	41 0.7×	125 2.3×	36 1.3×	18	315

Countries citing papers authored by D. Kolbehdari

Since Specialization

Citations

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

Fields of papers citing papers by D. Kolbehdari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Kolbehdari

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

All Works

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10 of 10 papers shown

Miar, Younes, et al.. (2014). Application of myostatin in sheep breeding programs: A review.. PubMed. 3(1). 33–43. 7 indexed citations

Marques, Elisa, Jason R. Grant, Z. Wang, et al.. (2011). Identification of candidate markers on bovine chromosome 14 (BTA14) under milk production trait quantitative trait loci in Holstein. Journal of Animal Breeding and Genetics. 128(4). 305–313. 8 indexed citations

Kolbehdari, D., Z. Wang, Jason R. Grant, et al.. (2009). A whole genome scan to map QTL for milk production traits and somatic cell score in Canadian Holstein bulls. Journal of Animal Breeding and Genetics. 126(3). 216–227. 89 indexed citations

Marques, Elisa, Robert D. Schnabel, Paul Stothard, et al.. (2008). High density linkage disequilibrium maps of chromosome 14 in Holstein and Angus cattle. BMC Genetics. 9(1). 45–45. 18 indexed citations

Prasad, Aparna, Robert D. Schnabel, Stephanie McKay, et al.. (2008). Linkage disequilibrium and signatures of selection on chromosomes 19 and 29 in beef and dairy cattle. Animal Genetics. 39(6). 597–605. 35 indexed citations

Kolbehdari, D., Z. Wang, Jason R. Grant, et al.. (2008). A Whole-Genome Scan to Map Quantitative Trait Loci for Conformation and Functional Traits in Canadian Holstein Bulls. Journal of Dairy Science. 91(7). 2844–2856. 64 indexed citations

Kolbehdari, D., L.R. Schaeffer, & J. A. B. Robinson. (2007). Estimation of genome‐wide haplotype effects in half‐sib designs. Journal of Animal Breeding and Genetics. 124(6). 356–361. 22 indexed citations

Kolbehdari, D. & J. A. B. Robinson. (2007). QTL Mapping Using Multiple Markers Simultaneously. American Journal of Agricultural and Biological Sciences. 2(3). 195–201. 2 indexed citations

Kolbehdari, D., et al.. (2006). Transmission disequilibrium test for quantitative trait loci detection in livestock populations. Journal of Animal Breeding and Genetics. 123(3). 191–197. 1 indexed citations

10.

Kolbehdari, D., et al.. (2005). Power of QTL detection by either fixed or random models in half-sib designs. Genetics Selection Evolution. 37(7). 601–14. 14 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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