L. D. Young

5.3k total citations
151 papers, 4.2k citations indexed

About

L. D. Young is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, L. D. Young has authored 151 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Plant Science, 38 papers in Genetics and 25 papers in Agronomy and Crop Science. Recurrent topics in L. D. Young's work include Genetic and phenotypic traits in livestock (38 papers), Soybean genetics and cultivation (35 papers) and Nematode management and characterization studies (24 papers). L. D. Young is often cited by papers focused on Genetic and phenotypic traits in livestock (38 papers), Soybean genetics and cultivation (35 papers) and Nematode management and characterization studies (24 papers). L. D. Young collaborates with scholars based in United States, United Kingdom and China. L. D. Young's co-authors include Edward B. Blanchard, Laurence A. Bradley, Karen O. Anderson, K. A. Leymaster, Lisa K. McDaniel, G. E. Dickerson, Robert A. Turner, Carlos A. Agudelo, James C. Eisenach and Christopher M. Wise and has published in prestigious journals such as Psychological Bulletin, American Journal of Psychiatry and Journal of Consulting and Clinical Psychology.

In The Last Decade

L. D. Young

147 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. D. Young United States 37 1.0k 673 624 450 432 151 4.2k
Gerianne M. Alexander United States 47 1.0k 1.0× 768 1.1× 65 0.1× 729 1.6× 82 0.2× 152 8.3k
Robert L. Rosenfield United States 63 2.0k 2.0× 209 0.3× 146 0.2× 148 0.3× 306 0.7× 234 18.4k
John Challis Canada 62 1.6k 1.5× 1.9k 2.9× 56 0.1× 326 0.7× 159 0.4× 360 15.4k
Kathryn E. Kemper Australia 30 3.2k 3.1× 351 0.5× 522 0.8× 229 0.5× 99 0.2× 39 4.4k
Stephen G. Matthews Canada 60 706 0.7× 313 0.5× 60 0.1× 185 0.4× 89 0.2× 263 12.3k
Julie A. Owens Australia 56 905 0.9× 554 0.8× 59 0.1× 187 0.4× 194 0.4× 205 11.4k
Petra Arck Germany 67 421 0.4× 626 0.9× 60 0.1× 69 0.2× 334 0.8× 275 13.3k
Bernhard H. Breier New Zealand 51 1.6k 1.6× 1.4k 2.1× 54 0.1× 525 1.2× 155 0.4× 192 9.8k
Charles Faiman Canada 45 1.1k 1.1× 222 0.3× 35 0.1× 117 0.3× 236 0.5× 191 6.8k
Leo Dunkel Finland 58 3.0k 3.0× 121 0.2× 166 0.3× 84 0.2× 154 0.4× 214 10.8k

Countries citing papers authored by L. D. Young

Since Specialization
Citations

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

Fields of papers citing papers by L. D. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. D. Young

This figure shows the co-authorship network connecting the top 25 collaborators of L. D. Young. A scholar is included among the top collaborators of L. D. Young 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 L. D. Young. L. D. Young 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.
Stetina, Salliana R., L. D. Young, William T. Pettigrew, & H. Arnold Bruns. (2007). EFFECT OF CORN-COTTON ROTATIONS ON RENIFORM NEMATODE POPULATIONS AND CROP YIELD. Nematropica. 37(2). 237–248. 23 indexed citations
2.
Robinson, A. F., James R. Akridge, J. M. Bradford, et al.. (2006). Suppression of Rotylenchulus reniformis 122-cm Deep Endorses Resistance Introgression in Gossypium.. PubMed Central. 8 indexed citations
3.
Robinson, A. F., J. M. Bradford, C. G. Cook, et al.. (2005). Vertical Distribution of Rotylenchulus reniformis in Cotton Fields.. PubMed Central. 18 indexed citations
4.
Freking, B. A., K. A. Leymaster, & L. D. Young. (2000). Evaluation of Dorset, Finnsheep, Romanov, Texel, and Montadale breeds of sheep: I. Effects of ram breed on productivity of ewes of two crossbred populations.. Journal of Animal Science. 78(6). 1422–1422. 31 indexed citations
5.
6.
Young, L. D., Laurence A. Bradley, & Robert A. Turner. (1995). Decreases in health care resource utilization in patients with rheumatoid arthritis following a cognitive behavioral intervention. Applied Psychophysiology and Biofeedback. 20(3). 259–268. 28 indexed citations
7.
8.
Dignan, Mark, et al.. (1995). Factors Associated With Participation in a Preventive Cardiology Service by Patients With Coronary Heart Disease. Southern Medical Journal. 88(10). 1057–1061. 2 indexed citations
9.
Young, L. D.. (1995). Reproduction of F1 Meishan, Fengjing, Minzhu, and Duroc gilts and sows. Journal of Animal Science. 73(3). 711–721. 26 indexed citations
10.
Young, L. D., W. G. Pond, & H. J. Mersmann. (1993). Direct and correlated responses to divergent selection for serum cholesterol concentration on day 56 in swine. Journal of Animal Science. 71(7). 1742–1753. 12 indexed citations
11.
Bloomfield, Robert J., et al.. (1993). Racial Differences in Perceptions Concerning Hypertension and Its Consequences. Southern Medical Journal. 86(7). 767–770. 18 indexed citations
12.
Young, L. D.. (1992). Effects of Duroc, Meishan, Fengjing, and Minzhu boars on productivity of mates and growth of first-cross progeny. Journal of Animal Science. 70(7). 2020–2029. 25 indexed citations
13.
Dickerson, G. E., et al.. (1992). Reproductive rate and genetic variation in composite and parental populations: experimental results in sheep. Journal of Animal Science. 70(3). 673–688. 13 indexed citations
14.
Young, L. D., et al.. (1992). Repression-Sensitization Differences in Recovery from Learned Helplessness. The Journal of General Psychology. 119(2). 135–139. 4 indexed citations
15.
Gama, L.T., G. E. Dickerson, L. D. Young, & K. A. Leymaster. (1991). Genetic and phenotypic variation in sources of preweaning lamb mortality1. Journal of Animal Science. 69(7). 2744–2753. 27 indexed citations
16.
Dignan, Mark, et al.. (1990). Development of a direct education workshop for cervical cancer prevention in high risk women: The Forsyth County project. Journal of Cancer Education. 5(4). 217–223. 5 indexed citations
17.
Christenson, R. K., K. A. Leymaster, & L. D. Young. (1987). Justification of Unilateral Hysterectomy-Ovariectomy as a Model to Evaluate Uterine Capacity in Swine. Journal of Animal Science. 65(3). 738–744. 128 indexed citations
18.
Bradley, Laurence A., L. D. Young, Karen O. Anderson, et al.. (1987). Effects of psychological therapy on pain behavior of rheumatoid arthritis patients. treatment outcome and six‐month followup. Arthritis & Rheumatism. 30(10). 1105–1114. 178 indexed citations
19.
Young, L. D., et al.. (1986). Heterosis retention in sheep crossbreeding.. Proceedings of the World Congress on Genetics applied to Livestock Production. 497–508. 8 indexed citations
20.
McDaniel, Lisa K., Karen O. Anderson, Laurence A. Bradley, et al.. (1986). Development of an observation method for assessing pain behavior in rheumatoid arthritis patients. Pain. 24(2). 165–184. 87 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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