Anne Moss

941 total citations
10 papers, 751 citations indexed

About

Anne Moss is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Anne Moss has authored 10 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Anne Moss's work include Growth Hormone and Insulin-like Growth Factors (5 papers), Metabolism, Diabetes, and Cancer (5 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Anne Moss is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (5 papers), Metabolism, Diabetes, and Cancer (5 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Anne Moss collaborates with scholars based in United States and Germany. Anne Moss's co-authors include John H. Livingston, J. Unger, James N. Livingston, J. Unger, Richard T. Moxley, Morris F. White, T.H. McNeill, Peter Arner, David E. James and Anna Skottner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American College of Cardiology and Biochemical Journal.

In The Last Decade

Anne Moss

9 papers receiving 735 citations

Peers

Anne Moss

PHYSI

EAS

MB

EDM

CMN

Barbara J. Wilcox United States

Ida Llewellyn‐Smith Australia

Guibao Gu United States

Stephan D. Bouman Denmark

Hong Zheng United States

L. Cass Terry United States

Takeshi Nonomura Japan

In Se Lee South Korea

Vincent Damian United States

Jacqueline Bayliss Australia

Barbara J. Wilcox United States

Anne Moss

165 ×0.6

PHYSI

239 ×0.9

EAS

345 ×1.5

MB

283 ×1.5

EDM

297 ×1.7

CMN

Citations per year, relative to Anne Moss Anne Moss (= 1×) peers Barbara J. Wilcox

Countries citing papers authored by Anne Moss

Since Specialization

Citations

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

Fields of papers citing papers by Anne Moss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Moss

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

All Works

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10 of 10 papers shown

1.

Corsetti, James P., et al.. (2005). Serum glucose and triglyceride determine high-risk subgroups in non-diabetic postinfarction patients. Atherosclerosis. 183(2). 293–300. 15 indexed citations

2.

Moss, Anne. (2004). The heart does not have Alzheimer's diseaseElectrical and mechanical cardiac memory after ventricular pacing*. Journal of the American College of Cardiology. 44(9). 1889–1890. 1 indexed citations

3.

Livingston, James N., J. Unger, Richard T. Moxley, & Anne Moss. (1993). Phosphotyrosine-Containing Proteins in the CNS of Obese Zucker Rats Are Decreased in the Absence of Changes in the Insulin Receptor. Neuroendocrinology. 57(3). 481–488. 7 indexed citations

4.

Unger, J., Anne Moss, & James N. Livingston. (1993). The hypophyseal pars tuberalis is enriched with distinct phosphotyrosine-containing proteins not detected in other areas of the brain and pituitary. Cell and Tissue Research. 272(3). 499–507. 3 indexed citations

5.

Moss, Anne & James N. Livingston. (1993). Distinct β-subunits are present in hybrid insulin-like-growth-factor-1 receptors in the central nervous system. Biochemical Journal. 294(3). 685–692. 19 indexed citations

6.

Unger, J., John H. Livingston, & Anne Moss. (1991). Insulin receptors in the central nervous system: Localization, signalling mechanisms and functional aspects. Progress in Neurobiology. 36(5). 343–362. 313 indexed citations

7.

Unger, J., Anne Moss, & James N. Livingston. (1991). Immunohistochemical localization of insulin receptors and phosphotyrosine in the brainstem of the adult rat. Neuroscience. 42(3). 853–861. 73 indexed citations

8.

Moss, Anne, J. Unger, Richard T. Moxley, & James N. Livingston. (1990). Location of phosphotyrosine-containing proteins by immunocytochemistry in the rat forebrain corresponds to the distribution of the insulin receptor.. Proceedings of the National Academy of Sciences. 87(12). 4453–4457. 37 indexed citations

9.

Moxley, Richard T., Peter Arner, Anne Moss, et al.. (1990). Acute effects of insulin-like growth factor I and insulin on glucose metabolism in vivo. American Journal of Physiology-Endocrinology and Metabolism. 259(4). E561–E567. 46 indexed citations

10.

Unger, J., T.H. McNeill, Richard T. Moxley, et al.. (1989). Distribution of insulin receptor-like immunoreactivity in the rat forebrain. Neuroscience. 31(1). 143–157. 237 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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