Tamara J. Gilbert

1.5k total citations
9 papers, 657 citations indexed

About

Tamara J. Gilbert is a scholar working on Molecular Biology, Infectious Diseases and Surgery. According to data from OpenAlex, Tamara J. Gilbert has authored 9 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Surgery. Recurrent topics in Tamara J. Gilbert's work include Immunotherapy and Immune Responses (2 papers), Ubiquitin and proteasome pathways (2 papers) and Pancreatic function and diabetes (2 papers). Tamara J. Gilbert is often cited by papers focused on Immunotherapy and Immune Responses (2 papers), Ubiquitin and proteasome pathways (2 papers) and Pancreatic function and diabetes (2 papers). Tamara J. Gilbert collaborates with scholars based in United States and Singapore. Tamara J. Gilbert's co-authors include Bridget K. Wagner, Stuart L. Schreiber, François Vigneault, Steven H. Kleinstein, Jason A. Vander Heiden, Toshimori Kitami, Arvind Ramanathan, D. D. Peck, Todd R. Golub and Vamsi K. Mootha and has published in prestigious journals such as Journal of the American Chemical Society, Immunity and Nature Biotechnology.

In The Last Decade

Tamara J. Gilbert

9 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tamara J. Gilbert United States	8	293	212	127	90	87	9	657
Xiaodi Deng United States	13	339 1.2×	88 0.4×	48 0.4×	93 1.0×	49 0.6×	22	536
Anna Gries Austria	11	215 0.7×	113 0.5×	93 0.7×	144 1.6×	59 0.7×	17	671
Inmaculada Rioja United Kingdom	21	643 2.2×	267 1.3×	63 0.5×	34 0.4×	82 0.9×	39	1.1k
Alexandra Canonici Ireland	11	269 0.9×	103 0.5×	111 0.9×	95 1.1×	41 0.5×	19	628
Ola H. Negm United Kingdom	18	478 1.6×	163 0.8×	45 0.4×	50 0.6×	109 1.3×	44	892
Christine S. Hughes United States	17	424 1.4×	69 0.3×	75 0.6×	49 0.5×	75 0.9×	31	814
M S Preston United States	9	344 1.2×	140 0.7×	79 0.6×	62 0.7×	40 0.5×	9	682
Yoshio Kodera Japan	16	448 1.5×	78 0.4×	52 0.4×	26 0.3×	64 0.7×	33	768
Shinya Iida Japan	16	338 1.2×	72 0.3×	53 0.4×	56 0.6×	129 1.5×	47	750
Ling Yin China	12	232 0.8×	107 0.5×	66 0.5×	13 0.1×	80 0.9×	24	511

Countries citing papers authored by Tamara J. Gilbert

Since Specialization

Citations

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

Fields of papers citing papers by Tamara J. Gilbert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara J. Gilbert

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

All Works

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9 of 9 papers shown

1.

Brennan, Christopher M., Xianfeng Li, Liang Xue, et al.. (2022). DUX4 expression activates JNK and p38 MAP kinases in myoblasts. Disease Models & Mechanisms. 15(11). 12 indexed citations

2.

Heiden, Jason A. Vander, Panos Stathopoulos, Julian Q. Zhou, et al.. (2017). Dysregulation of B Cell Repertoire Formation in Myasthenia Gravis Patients Revealed through Deep Sequencing. The Journal of Immunology. 198(4). 1460–1473. 75 indexed citations

3.

Dirice, Ercument, Deepika Walpita, Amedeo Vetere, et al.. (2016). Inhibition of DYRK1A Stimulates Human β-Cell Proliferation. Diabetes. 65(6). 1660–1671. 150 indexed citations

4.

Cui, Ang, Roberto Di Niro, Jason A. Vander Heiden, et al.. (2016). A Model of Somatic Hypermutation Targeting in Mice Based on High-Throughput Ig Sequencing Data. The Journal of Immunology. 197(9). 3566–3574. 47 indexed citations

5.

Niro, Roberto Di, Seung–Joo Lee, Jason A. Vander Heiden, et al.. (2015). Salmonella Infection Drives Promiscuous B Cell Activation Followed by Extrafollicular Affinity Maturation. Immunity. 43(1). 120–131. 161 indexed citations

6.

He, Kai, Tamara J. Gilbert, Dina Fomina‐Yadlin, & Bridget K. Wagner. (2012). Small Molecule-induced Beta-cell Regeneration from Alternate Cell Sources. 1(1). 83–90. 1 indexed citations

7.

Wagner, Bridget K., Toshimori Kitami, Tamara J. Gilbert, et al.. (2008). Large-scale chemical dissection of mitochondrial function. Nature Biotechnology. 26(3). 343–351. 158 indexed citations

8.

Wagner, Bridget K., Young‐Hoon Ahn, Yun Kyung Kim, et al.. (2008). Small-Molecule Fluorophores To Detect Cell-State Switching in the Context of High-Throughput Screening. Journal of the American Chemical Society. 130(13). 4208–4209. 44 indexed citations

9.

Gilbert, Tamara J., et al.. (1989). Characterization of a human-mouse chimeric antibody reactive with a human melanoma associated antigen.. PubMed. 288. 101–5. 9 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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