A.J. Pearson

789 total citations
23 papers, 637 citations indexed

About

A.J. Pearson is a scholar working on Urology, Cell Biology and Small Animals. According to data from OpenAlex, A.J. Pearson has authored 23 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Urology, 7 papers in Cell Biology and 6 papers in Small Animals. Recurrent topics in A.J. Pearson's work include Hair Growth and Disorders (11 papers), Skin and Cellular Biology Research (7 papers) and Reproductive Physiology in Livestock (4 papers). A.J. Pearson is often cited by papers focused on Hair Growth and Disorders (11 papers), Skin and Cellular Biology Research (7 papers) and Reproductive Physiology in Livestock (4 papers). A.J. Pearson collaborates with scholars based in New Zealand, Australia and Germany. A.J. Pearson's co-authors include A. J. Nixon, M. G. Ashby, A. J. Craven, Geoff Syme, Nauman J. Maqbool, Christine A. Ford, V.J. Choy, Ralf Paus, Ulrich Ohnemus and Karoline Krause and has published in prestigious journals such as American Journal Of Pathology, Journal of Investigative Dermatology and Animal Behaviour.

In The Last Decade

A.J. Pearson

23 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A.J. Pearson New Zealand	15	260	204	123	118	109	23	637
AG Lyne Australia	15	161 0.6×	115 0.6×	114 0.9×	59 0.5×	71 0.7×	36	607
A. J. Nixon New Zealand	14	407 1.6×	276 1.4×	131 1.1×	17 0.1×	150 1.4×	26	717
Anne‐Rose Günzel‐Apel Germany	17	77 0.3×	84 0.4×	160 1.3×	243 2.1×	131 1.2×	51	861
Steven S. Hannah United States	15	33 0.1×	302 1.5×	296 2.4×	112 0.9×	382 3.5×	22	958
Scobie Dr New Zealand	14	94 0.4×	69 0.3×	230 1.9×	128 1.1×	60 0.6×	72	544
DE Hollis Australia	12	53 0.2×	69 0.3×	63 0.5×	26 0.2×	67 0.6×	32	382
U. Philipp Germany	15	41 0.2×	176 0.9×	310 2.5×	23 0.2×	275 2.5×	39	735
Azuma Tsukise Japan	14	20 0.1×	136 0.7×	48 0.4×	21 0.2×	300 2.8×	89	643
K. D. Budras Germany	12	38 0.1×	53 0.3×	94 0.8×	102 0.9×	100 0.9×	44	489
Michaela Drögemüller Switzerland	17	23 0.1×	92 0.5×	171 1.4×	135 1.1×	243 2.2×	42	652

Countries citing papers authored by A.J. Pearson

Since Specialization

Citations

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

Fields of papers citing papers by A.J. Pearson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.J. Pearson

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

All Works

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20 of 20 papers shown

Li, Chunyi, A.J. Pearson, & Chris McMahon. (2013). Morphogenetic Mechanisms in the Cyclic Regeneration of Hair Follicles and Deer Antlers from Stem Cells. BioMed Research International. 2013. 1–21. 6 indexed citations

Wallace, Olivia, et al.. (2011). Annotation of sheep keratin intermediate filament genes and their patterns of expression. Experimental Dermatology. 20(7). 582–588. 63 indexed citations

Nixon, A. J., et al.. (2009). Expression patterns of keratin intermediate filament and keratin associated protein genes in wool follicles. Differentiation. 77(3). 307–316. 72 indexed citations

Craven, A. J., A. J. Nixon, M. G. Ashby, et al.. (2006). Prolactin delays hair regrowth in mice. Journal of Endocrinology. 191(2). 415–425. 50 indexed citations

Soboleva, T. K., et al.. (2005). Mathematical modelling of prolactin–receptor interaction and the corollary for prolactin receptor gene expression in skin. Journal of Theoretical Biology. 234(2). 289–298. 5 indexed citations

Foitzik, Kerstin, Karoline Krause, A. J. Nixon, et al.. (2003). Prolactin and Its Receptor Are Expressed in Murine Hair Follicle Epithelium, Show Hair Cycle-Dependent Expression, and Induce Catagen. American Journal Of Pathology. 162(5). 1611–1621. 79 indexed citations

Pearson, A.J., et al.. (1999). Identification of Differentially Expressed Genes During a Wool Follicle Growth Cycle Induced by Prolactin. Journal of Investigative Dermatology. 113(6). 865–872. 25 indexed citations

Day, Tim D., Catherine O’Connor, J. R. Waas, A.J. Pearson, & Lisa Matthews. (1998). TRANSMISSION OF LEPTOSPIRA INTERROGANS SEROVAR BALCANICA INFECTION AMONG SOCIALLY HOUSED BRUSHTAIL POSSUMS IN NEW ZEALAND. Journal of Wildlife Diseases. 34(3). 576–581. 15 indexed citations

Nixon, A. J., Christine A. Ford, Jenny M. Oldham, & A.J. Pearson. (1997). Localisation of insulin-like growth factor receptors in skin follicles of sheep (Ovis aries) and changes during an induced growth cycle. Comparative Biochemistry and Physiology Part A Physiology. 118(4). 1247–1257. 19 indexed citations

10.

Day, Tim D., J. R. Waas, Catherine O’Connor, et al.. (1997). LEPTOSPIROSIS IN BRUSHTAIL POSSUMS: IS LEPTOSPIRA INTERROGANS SEROVAR BALCANICA ENVIRONMENTALLY TRANSMITTED?. Journal of Wildlife Diseases. 33(2). 254–260. 14 indexed citations

11.

Pearson, A.J., et al.. (1996). Inhibitory effect of increased photoperiod on wool follicle growth. Journal of Endocrinology. 148(1). 157–166. 39 indexed citations

12.

Clapperton, B. Kay, et al.. (1996). Lithium and Cyanide-Induced Conditioned Food Aversions in Brushtail Possums. Journal of Wildlife Management. 60(1). 195–195. 13 indexed citations

13.

Nixon, A. J., et al.. (1995). The Microanatomy, Cell Replication, and Keratin Gene Expression of Hair Follicles during a Photoperiod-lnduced Growth Cycle in Sheep. Cells Tissues Organs. 154(4). 283–299. 19 indexed citations

14.

Nixon, A. J., et al.. (1995). Seasonal fiber growth cycles of ferrets (Mustela putorius furo) and long‐term effects of melatonin treatment. Journal of Experimental Zoology. 272(6). 435–445. 22 indexed citations

15.

Mandarim‐de‐Lacerda, Carlos Alberto, Sônia Maria Oliani, Ana Paula Girol, et al.. (1995). Author Index Vol. 154, 1995. Cells Tissues Organs. 154(4). 315–315. 1 indexed citations

16.

Craven, A. J., et al.. (1994). The effect of long-day photoperiod treatments on plasma prolactin and wool follicle activity in New Zealand Wiltshire sheep. Proceedings of the New Zealand Society of Animal Production. 54. 135–138. 1 indexed citations

17.

Nixon, A. J., et al.. (1993). Fiber growth initiation in hair follicles of goats treated with melatonin. Journal of Experimental Zoology. 267(1). 47–56. 47 indexed citations

18.

Hinch, Geoffrey, C. J. Thwaites, J J Lynch, & A.J. Pearson. (1982). Spatial relationships within a herd of young sterile bulls and steers. Applied Animal Ethology. 8(1-2). 27–44. 13 indexed citations

19.

Winfield, C.G., Geoff Syme, & A.J. Pearson. (1981). Effect of familiarity with each other and breed on the spatial behaviour of sheep in an open field. Applied Animal Ethology. 7(1). 67–75. 28 indexed citations

20.

Syme, Lesley A., et al.. (1975). Spatial distribution and social status in a small herd of dairy cows. Animal Behaviour. 23. 609–614. 38 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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