Peter Shier

472 total citations
9 papers, 389 citations indexed

About

Peter Shier is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Peter Shier has authored 9 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Peter Shier's work include Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (4 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Peter Shier is often cited by papers focused on Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (4 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Peter Shier collaborates with scholars based in Canada and United States. Peter Shier's co-authors include V M Watt, Wai‐Ping Fung‐Leung, Karen Ngo, Chi‐Hung Siu, Emily Gao, Gail Otulakowski, Claudia L. Hofstra and H.F. Willard and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Molecular Endocrinology.

In The Last Decade

Peter Shier

9 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Shier Canada	8	216	109	108	98	59	9	389
Anita C. Hohenstein United States	9	123 0.6×	120 1.1×	140 1.3×	150 1.5×	21 0.4×	15	407
J. M. Beardmore United Kingdom	7	214 1.0×	31 0.3×	34 0.3×	30 0.3×	28 0.5×	8	379
Martina Nazarea Japan	6	303 1.4×	21 0.2×	145 1.3×	22 0.2×	13 0.2×	9	450
Frances L. Shienvold United States	13	120 0.6×	191 1.8×	43 0.4×	348 3.6×	15 0.3×	18	504
Ravinder K. Suniara United Kingdom	6	168 0.8×	47 0.4×	136 1.3×	30 0.3×	6 0.1×	8	395
Naoko Kanno Japan	13	202 0.9×	109 1.0×	33 0.3×	23 0.2×	13 0.2×	23	332
Masako Osada United States	8	228 1.1×	17 0.2×	68 0.6×	16 0.2×	25 0.4×	15	352
Karen K. Nelson United States	9	344 1.6×	36 0.3×	36 0.3×	17 0.2×	96 1.6×	12	503
T Ban United States	12	301 1.4×	327 3.0×	129 1.2×	23 0.2×	30 0.5×	16	700
Simona Wagner Canada	9	192 0.9×	51 0.5×	17 0.2×	30 0.3×	47 0.8×	10	352

Countries citing papers authored by Peter Shier

Since Specialization

Citations

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

Fields of papers citing papers by Peter Shier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Shier

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Shier, Peter, et al.. (2000). Tbt-1 , a new T-box transcription factor induced in activated Th1 and CD8 + T cells. Immunogenetics. 51(10). 771–778. 27 indexed citations

2.

Shier, Peter, Karen Ngo, & Wai‐Ping Fung‐Leung. (1999). Defective CD8+ T Cell Activation and Cytolytic Function in the Absence of LFA-1 Cannot Be Restored by Increased TCR Signaling. The Journal of Immunology. 163(9). 4826–4832. 36 indexed citations

3.

Shier, Peter, et al.. (1996). Impaired immune responses toward alloantigens and tumor cells but normal thymic selection in mice deficient in the β2 integrin leukocyte function-associated antigen-1. The Journal of Immunology. 157(12). 5375–5386. 55 indexed citations

4.

Shier, Peter, et al.. (1994). IRR: A Novel Member of the Insulin Receptor Family. Advances in experimental medicine and biology. 343. 125–132. 6 indexed citations

5.

Shier, Peter & V M Watt. (1992). Tissue-specific expression of the rat insulin receptor-related receptor gene.. Molecular Endocrinology. 6(5). 723–729. 32 indexed citations

6.

Gao, Emily, Peter Shier, & Chi‐Hung Siu. (1992). Purification and partial characterization of a cell adhesion molecule (gp150) involved in postaggregation stage cell-cell binding in Dictyostelium discoideum.. Journal of Biological Chemistry. 267(13). 9409–9415. 36 indexed citations

7.

Shier, Peter. (1992). Tissue-specific expression of the rat insulin receptor-related receptor gene. Molecular Endocrinology. 6(5). 723–729. 10 indexed citations

8.

Shier, Peter, H.F. Willard, & V M Watt. (1990). Localization of the insulin receptor-related receptor gene to human chromosome 1. Cytogenetic and Genome Research. 54(1-2). 80–81. 7 indexed citations

9.

Shier, Peter & V M Watt. (1989). Primary Structure of a Putative Receptor for a Ligand of the Insulin Family. Journal of Biological Chemistry. 264(25). 14605–14608. 180 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.

Explore authors with similar magnitude of impact