Janet P. Crossland

1.2k total citations · 1 hit paper
21 papers, 890 citations indexed

About

Janet P. Crossland is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Janet P. Crossland has authored 21 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Infectious Diseases and 5 papers in Genetics. Recurrent topics in Janet P. Crossland's work include Viral Infections and Vectors (4 papers), melanin and skin pigmentation (3 papers) and Wildlife Ecology and Conservation (3 papers). Janet P. Crossland is often cited by papers focused on Viral Infections and Vectors (4 papers), melanin and skin pigmentation (3 papers) and Wildlife Ecology and Conservation (3 papers). Janet P. Crossland collaborates with scholars based in United States, Greece and Canada. Janet P. Crossland's co-authors include Paul A. Insel, Richard A. Bundey, Hopi E. Hoekstra, Michael J. Dewey, Wallace D. Dawson, Gary Van Zant, Erin Manning, Paul B. Vrana, Gábor Szalai and Michael R. Felder and has published in prestigious journals such as Science, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Janet P. Crossland

19 papers receiving 865 citations

Hit Papers

A Single Amino Acid Mutation Contributes to Adaptive Beac... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janet P. Crossland United States 12 380 263 185 155 119 21 890
Shixia Xu China 22 277 0.7× 169 0.6× 443 2.4× 491 3.2× 35 0.3× 77 1.2k
Craig W. LaMunyon United States 20 621 1.6× 708 2.7× 207 1.1× 176 1.1× 27 0.2× 34 1.4k
Tom Reader United Kingdom 21 276 0.7× 492 1.9× 154 0.8× 347 2.2× 30 0.3× 53 1.3k
Bambang Suryobroto Indonesia 17 109 0.3× 269 1.0× 193 1.0× 126 0.8× 29 0.2× 75 817
A. W. Blackshaw Australia 24 316 0.8× 144 0.5× 217 1.2× 237 1.5× 51 0.4× 76 1.6k
Ammon Corl United States 18 400 1.1× 665 2.5× 259 1.4× 333 2.1× 63 0.5× 31 1.3k
Cynthia Steiner United States 16 664 1.7× 341 1.3× 508 2.7× 330 2.1× 85 0.7× 36 1.5k
Christopher A. Emerling United States 18 166 0.4× 262 1.0× 418 2.3× 236 1.5× 35 0.3× 30 1.0k
Colin M. Callahan United States 14 352 0.9× 162 0.6× 237 1.3× 217 1.4× 31 0.3× 25 799
Brent M. Horton United States 17 175 0.5× 380 1.4× 71 0.4× 221 1.4× 20 0.2× 34 707

Countries citing papers authored by Janet P. Crossland

Since Specialization
Citations

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

Fields of papers citing papers by Janet P. Crossland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet P. Crossland. 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 Janet P. Crossland. The network helps show where Janet P. Crossland may publish in the future.

Co-authorship network of co-authors of Janet P. Crossland

This figure shows the co-authorship network connecting the top 25 collaborators of Janet P. Crossland. A scholar is included among the top collaborators of Janet P. Crossland 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 Janet P. Crossland. Janet P. Crossland 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.
Naderi, Asieh, Merve Bayram, Janet P. Crossland, et al.. (2025). Circannual breeding and methylation are impacted by the equinox in Peromyscus. BMC Biology. 23(1). 149–149. 1 indexed citations
2.
Kaza, Vimala, et al.. (2018). Growth of human breast cancers in Peromyscus. Disease Models & Mechanisms. 11(1). 2 indexed citations
3.
Clarke, Benjamin L., et al.. (2016). A method to distinguish morphologically similar Peromyscus species using extracellular RNA and high-resolution melt analysis. Analytical Biochemistry. 508. 65–72. 4 indexed citations
4.
Crossland, Janet P., et al.. (2016). Peromyscus as a model of human disease. Seminars in Cell and Developmental Biology. 61. 150–155. 20 indexed citations
5.
Pritchett‐Corning, Kathleen R., et al.. (2015). Use of Neonatal Fostering To Remove Helicobacter spp. from Deer Mice (Peromyscus maniculatus).. PubMed. 54(4). 439–44. 2 indexed citations
6.
Wiedmeyer, Charles E., Janet P. Crossland, Michael J. Dewey, et al.. (2014). Hematologic and serum biochemical values of 4 species of Peromyscus mice and their hybrids.. PubMed. 53(4). 336–43. 5 indexed citations
7.
Crossland, Janet P., et al.. (2014). Natural Genetic Variation Underlying Differences in Peromyscus Repetitive and Social/Aggressive Behaviors. Behavior Genetics. 44(2). 126–135. 15 indexed citations
8.
Crossland, Janet P., Michael J. Dewey, Shayne C. Barlow, et al.. (2014). Caring for Peromyscus spp. in research environments. Lab Animal. 43(5). 162–166. 12 indexed citations
9.
Crossland, Janet P., et al.. (2014). Pleiotropic Effects of a Methyl Donor Diet in a Novel Animal Model. PLoS ONE. 9(8). e104942–e104942. 18 indexed citations
10.
Vrana, Paul B., Gábor Szalai, Michael R. Felder, et al.. (2013). Peromyscus (deer mice) as developmental models. Wiley Interdisciplinary Reviews Developmental Biology. 3(3). 211–230. 21 indexed citations
11.
Crossland, Janet P., et al.. (2012). Peromyscusas a Mammalian Epigenetic Model. PubMed. 2012. 1–11. 27 indexed citations
12.
Jašarević, Eldin, Drew H. Bailey, Janet P. Crossland, et al.. (2012). Evolution of monogamy, paternal investment, and female life history in Peromyscus.. Journal of comparative psychology. 127(1). 91–102. 26 indexed citations
13.
Pryor, William, et al.. (2011). The biology and methodology of assisted reproduction in deer mice (Peromyscus maniculatus). Theriogenology. 77(2). 311–319. 18 indexed citations
14.
Kalcounis‐Rueppell, Matina C., Jessica Briggs, John T. Willse, et al.. (2010). Differences in Ultrasonic Vocalizations between Wild and Laboratory California Mice (Peromyscus californicus). PLoS ONE. 5(4). e9705–e9705. 55 indexed citations
15.
Hoekstra, Hopi E., et al.. (2006). A Single Amino Acid Mutation Contributes to Adaptive Beach Mouse Color Pattern. Science. 313(5783). 101–104. 550 indexed citations breakdown →
16.
Parnell, Pamela G., Janet P. Crossland, R Mark Beattie, & Michael J. Dewey. (2005). Frequent Harderian gland adenocarcinomas in inbred white-footed mice (Peromyscus leucopus).. PubMed. 55(4). 382–6. 7 indexed citations
17.
Manning, Erin, Janet P. Crossland, Michael J. Dewey, & Gary Van Zant. (2002). Influences of inbreeding and genetics on telomere length in mice. Mammalian Genome. 13(5). 234–238. 58 indexed citations
18.
Crossland, Janet P., et al.. (1998). Deer Mice As Laboratory Animals. ILAR Journal. 39(4). 322–330. 48 indexed citations
19.
Crossland, Janet P., et al.. (1993). Coat Color Genetics of Peromyscus: II. Tan Streak — A New Recessive Mutation in the Deer Mouse, P. maniculatis. Journal of Heredity. 84(4). 304–306.
20.
Crossland, Janet P., et al.. (1990). Coat Color Genetics of Peromyscus. I. Ashiness, an Age-Dependent Coat Color Mutation in the Deer Mouse. Journal of Heredity. 81(4). 309–313. 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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