D. J. Burks

585 total citations
8 papers, 254 citations indexed

About

D. J. Burks is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, D. J. Burks has authored 8 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 1 paper in Surgery. Recurrent topics in D. J. Burks's work include Reproductive Biology and Fertility (2 papers), Stress Responses and Cortisol (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). D. J. Burks is often cited by papers focused on Reproductive Biology and Fertility (2 papers), Stress Responses and Cortisol (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). D. J. Burks collaborates with scholars based in Spain, United States and Serbia. D. J. Burks's co-authors include Morris F. White, José Carretero, E Blanco, Raquel E. Rodrı́guez, Manuel Pablo Rubio, Irina Neganova, Gabriele Saretzki, Lyle Armstrong, R. Vázquez and Vera Gorbunova and has published in prestigious journals such as Diabetes, Cell Death and Differentiation and Biology of Reproduction.

In The Last Decade

D. J. Burks

8 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. J. Burks Spain	7	136	79	68	52	32	8	254
Diane Jolley United States	5	154 1.1×	60 0.8×	20 0.3×	36 0.7×	17 0.5×	6	244
SH Chew Hong Kong	12	202 1.5×	50 0.6×	47 0.7×	31 0.6×	28 0.9×	19	405
Teng‐Teng Chung United Kingdom	6	81 0.6×	64 0.8×	89 1.3×	23 0.4×	32 1.0×	15	305
Sze Wan Fong Hong Kong	10	175 1.3×	18 0.2×	41 0.6×	30 0.6×	46 1.4×	19	330
Elvira Dzhura United States	7	234 1.7×	136 1.7×	174 2.6×	80 1.5×	31 1.0×	7	374
Nadège Carré France	10	164 1.2×	146 1.8×	57 0.8×	61 1.2×	85 2.7×	14	441
Joel K. Campbell United States	8	118 0.9×	64 0.8×	42 0.6×	148 2.8×	67 2.1×	9	332
Cibele N. Peroni Brazil	10	128 0.9×	72 0.9×	17 0.3×	89 1.7×	34 1.1×	26	268
Teresa C. Vieira Brazil	9	127 0.9×	146 1.8×	40 0.6×	68 1.3×	19 0.6×	16	302
David W. Newstrom United States	4	76 0.6×	38 0.5×	32 0.5×	29 0.6×	53 1.7×	6	294

Countries citing papers authored by D. J. Burks

Since Specialization

Citations

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

Fields of papers citing papers by D. J. Burks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. J. Burks

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Tilgner, Katarzyna, Irina Neganova, Inmaculada Moreno, et al.. (2013). A human iPSC model of Ligase IV deficiency reveals an important role for NHEJ-mediated-DSB repair in the survival and genomic stability of induced pluripotent stem cells and emerging haematopoietic progenitors. Cell Death and Differentiation. 20(8). 1089–1100. 37 indexed citations

2.

Burks, D. J., et al.. (2010). 234 MORPHOLOGICAL CHARACTERIZATION OF TESTES FROM INSULIN RECEPTOR SUBSTRATE (IRS) 2-DEFICIENT MICE. Reproduction Fertility and Development. 23(1). 216–216. 1 indexed citations

3.

Carretero, José, et al.. (2004). Expression of the μ-opioid receptor in the anterior pituitary gland is influenced by age and sex. Neuropeptides. 38(2-3). 63–68. 27 indexed citations

4.

Carretero, José, Eduardo Weruaga, D. J. Burks, et al.. (2003). Dopaminergic modulation of nNOS expression in the pituitary gland of male rat. Anatomy and Embryology. 207(4-5). 381–388. 9 indexed citations

5.

Carretero, José, M. Rubio, E Blanco, et al.. (2003). Postnatal differentiation of the immunohistochemical expression of aromatase P450 in the rat pituitary gland.. PubMed. 18(2). 419–23. 16 indexed citations

6.

Burks, D. J. & Morris F. White. (2001). IRS proteins and beta-cell function.. Diabetes. 50(suppl_1). S140–S140. 148 indexed citations

7.

Roh, Jung Hyeob, et al.. (2000). Skin Cleaning with Kerosene Facilitates Passage of Carcinogens to the Lungs of Animals Treated with Used Gasoline Engine Oil. Applied Occupational and Environmental Hygiene. 15(4). 362–369. 8 indexed citations

8.

Beebe, Stephen J., et al.. (1989). Evidence that Cyclic Adenosine 3′,5′-Monophosphate-Dependent Protein Kinase Activation Causes Pig Ovarian Granulosa Cell Differentiation, Including Increases in Two Type II Subclasses of this Kinase1. Biology of Reproduction. 41(2). 295–307. 8 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.

Explore authors with similar magnitude of impact