Andrew S. Lang

936 total citations
16 papers, 329 citations indexed

About

Andrew S. Lang is a scholar working on Ecology, Evolution, Behavior and Systematics, Small Animals and Agronomy and Crop Science. According to data from OpenAlex, Andrew S. Lang has authored 16 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, Evolution, Behavior and Systematics, 4 papers in Small Animals and 3 papers in Agronomy and Crop Science. Recurrent topics in Andrew S. Lang's work include Animal Behavior and Reproduction (5 papers), Animal Behavior and Welfare Studies (4 papers) and Reproductive Physiology in Livestock (3 papers). Andrew S. Lang is often cited by papers focused on Animal Behavior and Reproduction (5 papers), Animal Behavior and Welfare Studies (4 papers) and Reproductive Physiology in Livestock (3 papers). Andrew S. Lang collaborates with scholars based in United States, Sweden and France. Andrew S. Lang's co-authors include Ronald Rivera, Emanuele Seu, J. David Jentsch, Suzanne H. Austin, Rebecca M. Calisi, Matthew D. MacManes, S. Einarsson, Andrzej Madej, Y. Brandt and H. Kindahl and has published in prestigious journals such as Clinical Infectious Diseases, Scientific Reports and Emerging infectious diseases.

In The Last Decade

Andrew S. Lang

15 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew S. Lang United States 11 60 56 52 49 48 16 329
Y. Takeuchi Japan 12 36 0.6× 64 1.1× 29 0.6× 106 2.2× 19 0.4× 24 345
Line Boissin-Agasse France 14 23 0.4× 87 1.6× 59 1.1× 28 0.6× 25 0.5× 22 413
I. Medveczky Hungary 12 24 0.4× 78 1.4× 47 0.9× 53 1.1× 18 0.4× 21 492
Khalid El Allali Morocco 13 26 0.4× 29 0.5× 29 0.6× 36 0.7× 37 0.8× 33 399
Ken‐ichi Yayou Japan 12 22 0.4× 32 0.6× 51 1.0× 94 1.9× 11 0.2× 42 556
Rebecca S. Brogan United States 17 50 0.8× 51 0.9× 98 1.9× 82 1.7× 44 0.9× 28 752
L. A. Gerlinskaya Russia 12 16 0.3× 22 0.4× 73 1.4× 32 0.7× 55 1.1× 51 355
Jürgen Seier South Africa 14 14 0.2× 20 0.4× 116 2.2× 68 1.4× 36 0.8× 40 624
J. N. Pasley United States 13 21 0.3× 38 0.7× 16 0.3× 20 0.4× 29 0.6× 38 435
Nicola Begley United Kingdom 11 16 0.3× 24 0.4× 103 2.0× 88 1.8× 12 0.3× 14 773

Countries citing papers authored by Andrew S. Lang

Since Specialization
Citations

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

Fields of papers citing papers by Andrew S. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew S. Lang. 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 Andrew S. Lang. The network helps show where Andrew S. Lang may publish in the future.

Co-authorship network of co-authors of Andrew S. Lang

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

All Works

16 of 16 papers shown
1.
Cronberg, Nils, et al.. (2024). Assessing gene flow between Dicranum scoparium Hedw. and D. bonjeanii De Not. (Dicranaceae) using single nucleotide polymorphisms (SNPs). Botanical Journal of the Linnean Society. 208(4). 402–411.
2.
Szumlinski, Karen K., Racquel Domingo-Gonzalez, Alexis W. Ary, et al.. (2023). Evidence for Phosphorylation-Dependent, Dynamic, Regulation of mGlu5 and Homer2 in Expression of Cocaine Aversion in Mice. eNeuro. 10(4). ENEURO.0423–22.2023. 1 indexed citations
3.
Harris, H., Suzanne H. Austin, Frédéric Angelier, et al.. (2021). Prolactin and prolactin receptor expression in the HPG axis and crop during parental care in both sexes of a biparental bird (Columba livia). General and Comparative Endocrinology. 315. 113940–113940. 14 indexed citations
4.
Austin, Suzanne H., H. Harris, Andrew S. Lang, et al.. (2021). Isolating the Role of Corticosterone in the Hypothalamic-Pituitary-Gonadal Transcriptomic Stress Response. Frontiers in Endocrinology. 12. 632060–632060. 15 indexed citations
5.
Klompas, Michael, Meghan A. Baker, Robert Tucker, et al.. (2021). Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) From Asymptomatic and Presymptomatic Individuals in Healthcare Settings Despite Medical Masks and Eye Protection. Clinical Infectious Diseases. 73(9). 1693–1695. 39 indexed citations
6.
Lang, Andrew S., Suzanne H. Austin, H. Harris, Rebecca M. Calisi, & Matthew D. MacManes. (2020). Stress-mediated convergence of splicing landscapes in male and female rock doves. BMC Genomics. 21(1). 251–251. 5 indexed citations
7.
Vostok, Johanna, Tracy Stiles, Andrew S. Lang, et al.. (2020). Linking Epidemiology and Whole-Genome Sequencing to Investigate Salmonella Outbreak, Massachusetts, USA, 2018. Emerging infectious diseases. 26(7). 1538–1541. 11 indexed citations
8.
Hedenäs, Lars, et al.. (2019). Gene transfer across species boundaries in bryophytes: evidence from major life cycle stages in Homalothecium lutescens and H. sericeum. Annals of Botany. 125(4). 565–579. 6 indexed citations
9.
Calisi, Rebecca M., Suzanne H. Austin, Andrew S. Lang, & Matthew D. MacManes. (2018). Sex-biased transcriptomic response of the reproductive axis to stress. Hormones and Behavior. 100. 56–68. 21 indexed citations
10.
MacManes, Matthew D., et al.. (2017). Widespread patterns of sexually dimorphic gene expression in an avian hypothalamic–pituitary–gonadal (HPG) axis. Scientific Reports. 7(1). 45125–45125. 39 indexed citations
11.
Seu, Emanuele, Andrew S. Lang, Ronald Rivera, & J. David Jentsch. (2008). Inhibition of the norepinephrine transporter improves behavioral flexibility in rats and monkeys. Psychopharmacology. 202(1-3). 505–519. 94 indexed citations
12.
Brandt, Y., Andrew S. Lang, Andrzej Madej, Heriberto Rodríguez‐Martínez, & S. Einarsson. (2005). Impact of ACTH administration on the oviductal sperm reservoir in sows: The local endocrine environment and distribution of spermatozoa. Animal Reproduction Science. 92(1-2). 107–122. 14 indexed citations
13.
Madej, Andrzej, et al.. (2005). Factors regulating ovarian function in pigs. Domestic Animal Endocrinology. 29(2). 347–361. 38 indexed citations
14.
Brandt, Y., Andrew S. Lang, Heriberto Rodríguez‐Martínez, Andrzej Madej, & S. Einarsson. (2005). Impact of ACTH during oestrus on the ultrastructure of the spermatozoa and their environment in the tubal reservoir of the postovulatory sow. Animal Reproduction Science. 93(3-4). 231–245. 14 indexed citations
15.
Lang, Andrew S., Kampon Kaeoket, H. Kindahl, Andrzej Madej, & S. Einarsson. (2004). Influence of CRH and ACTH Administration on Endocrine Profile and Ovulation in Sows. Reproduction in Domestic Animals. 39(3). 181–189. 17 indexed citations
16.
Szelényi, Judit, et al.. (1980). Haemoglobin O Arab, beta-thalassaemia and glucose-6-phosphate dehydrogenase deficiency in a Hungarian family.. PubMed. 107(4). 654–60. 1 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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