Ann Rearden

1.3k total citations
47 papers, 1.1k citations indexed

About

Ann Rearden is a scholar working on Molecular Biology, Hematology and Physiology. According to data from OpenAlex, Ann Rearden has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 19 papers in Hematology and 16 papers in Physiology. Recurrent topics in Ann Rearden's work include Blood groups and transfusion (18 papers), Erythrocyte Function and Pathophysiology (16 papers) and Glycosylation and Glycoproteins Research (7 papers). Ann Rearden is often cited by papers focused on Blood groups and transfusion (18 papers), Erythrocyte Function and Pathophysiology (16 papers) and Glycosylation and Glycoproteins Research (7 papers). Ann Rearden collaborates with scholars based in United States, Sweden and Canada. Ann Rearden's co-authors include Martin C. Michel, Daniel A. Nachtsheim, Alan S. Maisel, Harvey Motulsky, Jessica Wang‐Rodriguez, Shinichi Kudo, Minoru Fukuda, S. P. Masouredis, Anna D. Dreilinger and Paul A. Insel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Ann Rearden

47 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann Rearden United States 18 440 215 204 157 152 47 1.1k
K. McConalogue Australia 17 421 1.0× 296 1.4× 449 2.2× 206 1.3× 53 0.3× 22 1.6k
Sheila Mun-Bryce United States 13 461 1.0× 105 0.5× 165 0.8× 63 0.4× 64 0.4× 14 1.5k
Shoji Kuwata Japan 23 210 0.5× 129 0.6× 174 0.9× 619 3.9× 88 0.6× 74 1.5k
John M. Busillo United States 10 697 1.6× 126 0.6× 94 0.5× 505 3.2× 105 0.7× 13 1.6k
Mitsunobu Shimadzu Japan 22 812 1.8× 176 0.8× 35 0.2× 98 0.6× 39 0.3× 43 1.7k
Maria Luisa Tenchini Italy 24 555 1.3× 209 1.0× 407 2.0× 67 0.4× 22 0.1× 74 1.6k
Jung-Eun Jang United States 8 398 0.9× 346 1.6× 284 1.4× 765 4.9× 95 0.6× 8 1.7k
Edward Y. Estrada United States 9 357 0.8× 75 0.3× 192 0.9× 82 0.5× 85 0.6× 9 1.0k
Manabu Osoegawa Japan 25 400 0.9× 137 0.6× 70 0.3× 465 3.0× 26 0.2× 59 2.0k
Glenn Dorsam United States 20 449 1.0× 175 0.8× 96 0.5× 188 1.2× 42 0.3× 42 993

Countries citing papers authored by Ann Rearden

Since Specialization
Citations

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

Fields of papers citing papers by Ann Rearden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann Rearden. 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 Ann Rearden. The network helps show where Ann Rearden may publish in the future.

Co-authorship network of co-authors of Ann Rearden

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Rearden. A scholar is included among the top collaborators of Ann Rearden 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 Ann Rearden. Ann Rearden 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.
Jiang, Yun, Andrew P. Mizisin, Ann Rearden, & Corinne G. Jolivalt. (2010). Diabetes induces changes in ILK, PINCH and components of related pathways in the spinal cord of rats. Brain Research. 1332. 100–109. 7 indexed citations
2.
Rearden, Ann, et al.. (2008). Novel expression of PINCH in the central nervous system and its potential as a biomarker for human immunodeficiency virus‐associated neurodegeneration. Journal of Neuroscience Research. 86(11). 2535–2542. 15 indexed citations
3.
Peebo, Beatrice, et al.. (2007). Expression of the focal adhesion protein PINCH in normal and alkali‐injured corneas and the role of PMNs. Acta Ophthalmologica Scandinavica. 85(4). 395–400. 2 indexed citations
4.
Shi, Fu‐Dong, Jianying Zhang, Ann Rearden, et al.. (2004). Preferential humoral immune response in prostate cancer to cellular proteins p90 and p62 in a panel of tumor‐associated antigens. The Prostate. 63(3). 252–258. 50 indexed citations
5.
Arbman, Gunnar, et al.. (2004). Stromal Staining for PINCH Is an Independent Prognostic Indicator in Colorectal Cancer. Neoplasia. 6(6). 796–801. 43 indexed citations
6.
Campana, W. Marie, Robert R. Myers, & Ann Rearden. (2003). Identification of PINCH in Schwann cells and DRG neurons: Shuttling and signaling after nerve injury. Glia. 41(3). 213–223. 35 indexed citations
7.
Wang‐Rodriguez, Jessica, et al.. (2002). The signaling adapter protein PINCH is up‐regulated in the stroma of common cancers, notably at invasive edges. Cancer. 95(6). 1387–1395. 69 indexed citations
8.
Nachtsheim, Daniel A. & Ann Rearden. (1996). Peyronie's disease is associated with an HLA class II antigen, HLA-DQ5, implying an autoimmune etiology.. PubMed. 156(4). 1330–4. 42 indexed citations
9.
Wang‐Rodriguez, Jessica, Ann Rearden, & Philip F. Halloran. (1995). Effect of Crossmatching on Outcome in Organ Transplantation. Critical Reviews in Clinical Laboratory Sciences. 32(4). 345–376. 10 indexed citations
10.
Rearden, Ann. (1994). A New LIM Protein Containing an Autoepitope Homologous to "Senescent Cell Antigen". Biochemical and Biophysical Research Communications. 201(3). 1124–1131. 74 indexed citations
11.
Rearden, Ann. (1993). Immunogenicity and antigenicity of defined linear determinants of the MN sialoglycoprotein glycophorin A. Transfusion. 33(6). 476–483. 3 indexed citations
12.
Maisel, Alan, David R. Murray, Martin Lotz, et al.. (1991). Propranolol treatment affects parameters of human immunity. Immunopharmacology. 22(3). 157–164. 24 indexed citations
13.
Maisel, Alan S., Kirk U. Knowlton, Ann Rearden, et al.. (1990). Adrenergic control of circulating lymphocyte subpopulations. Effects of congestive heart failure, dynamic exercise, and terbutaline treatment.. Journal of Clinical Investigation. 85(2). 462–467. 124 indexed citations
14.
Rearden, Ann, H Phan, Shinichi Kudo, & Minoru Fukuda. (1990). Evolution of the glycophorin gene family in the hominoid primates. Biochemical Genetics. 28(3-4). 209–222. 14 indexed citations
15.
Rearden, Ann, H Phan, & Minoru Fukuda. (1990). Multiple restriction fragment length polymorphisms associated with the Vc determinant of the MN blood group-related chimpanzee V-A-B-D system. Biochemical Genetics. 28(3-4). 223–231. 5 indexed citations
16.
Maisel, Alan S., Kirk U. Knowlton, Ann Rearden, et al.. (1990). Effects of Congestive Heart Failure, Dynamic Exercise, and Terbutaline Treatment. 13 indexed citations
17.
18.
Maisel, Alan S., et al.. (1989). A new method for isolation of human lymphocyte subsets reveals differential regulation of β-adrenergic receptors by terbutaline treatment. Clinical Pharmacology & Therapeutics. 46(4). 429–439. 103 indexed citations
19.
Rearden, Ann. (1988). Hybrid sialoglycoprotein content of St(a+) red cells. Transfusion. 28(2). 119–122. 1 indexed citations
20.
O’Connor, Daniel T., et al.. (1976). Negative anion gap in a young adult with multiple myeloma.. PubMed. 22(11). 1920–1. 3 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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