Laura A. Penny

535 total citations
9 papers, 420 citations indexed

About

Laura A. Penny is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Laura A. Penny has authored 9 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Laura A. Penny's work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers) and Chromosomal and Genetic Variations (2 papers). Laura A. Penny is often cited by papers focused on Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers) and Chromosomal and Genetic Variations (2 papers). Laura A. Penny collaborates with scholars based in United States. Laura A. Penny's co-authors include Surojit Sarkar, Vandana Kalia, Yevgeniy Yuzefpolskiy, Bernard G. Forget, Arif A. Khan, Arthur W. Nienhuis, Elise A. Feingold, Marie L. Dell’Aquila, Jean‐Pierre Fryns and JoAnn Bergoffen and has published in prestigious journals such as Blood, Immunity and The Journal of Immunology.

In The Last Decade

Laura A. Penny

9 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura A. Penny United States	7	151	131	116	64	62	9	420
Sara Droetto Italy	11	278 1.8×	124 0.9×	71 0.6×	59 0.9×	33 0.5×	11	492
Marie-Hélène Gaumond Canada	9	217 1.4×	93 0.7×	155 1.3×	67 1.0×	38 0.6×	12	479
Thomas Cauvet Germany	8	439 2.9×	57 0.4×	31 0.3×	146 2.3×	41 0.7×	8	597
Annick Werner Switzerland	6	197 1.3×	355 2.7×	40 0.3×	50 0.8×	49 0.8×	6	534
Saadia Rashid United States	12	133 0.9×	46 0.4×	19 0.2×	78 1.2×	21 0.3×	21	944
Nadine Jalkh Lebanon	13	541 3.6×	96 0.7×	238 2.1×	48 0.8×	90 1.5×	38	751
Daniel Klimmeck Germany	8	210 1.4×	206 1.6×	51 0.4×	28 0.4×	35 0.6×	13	532
Dave P. Witte United States	8	233 1.5×	32 0.2×	45 0.4×	51 0.8×	101 1.6×	10	390
Yanming Feng United States	11	213 1.4×	25 0.2×	111 1.0×	35 0.5×	44 0.7×	22	400
Caterina Barbieri Italy	9	228 1.5×	28 0.2×	79 0.7×	40 0.6×	37 0.6×	18	392

Countries citing papers authored by Laura A. Penny

Since Specialization

Citations

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

Fields of papers citing papers by Laura A. Penny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura A. Penny

This figure shows the co-authorship network connecting the top 25 collaborators of Laura A. Penny. A scholar is included among the top collaborators of Laura A. Penny 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 Laura A. Penny. Laura A. Penny 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.

Yuzefpolskiy, Yevgeniy, et al.. (2017). PD-1 signals instruct a critical metabolic switch for maintenance of T cell memory. The Journal of Immunology. 198(Supplement_1). 151.24–151.24. 1 indexed citations

2.

Yuzefpolskiy, Yevgeniy, et al.. (2016). Signaling through PD-1 on CD8 T cells is critical for antigen-independent maintenance of immune memory. The Journal of Immunology. 196(1_Supplement). 129.6–129.6. 2 indexed citations

3.

Kalia, Vandana, et al.. (2015). Quiescence of Memory CD8+ T Cells Is Mediated by Regulatory T Cells through Inhibitory Receptor CTLA-4. Immunity. 42(6). 1116–1129. 80 indexed citations

4.

Yuzefpolskiy, Yevgeniy, et al.. (2014). Vitamin D Receptor Signals Regulate Effector and Memory CD8 T Cell Responses to Infections in Mice. Journal of Nutrition. 144(12). 2073–2082. 20 indexed citations

5.

Khan, Arif A., Laura A. Penny, Yevgeniy Yuzefpolskiy, Surojit Sarkar, & Vandana Kalia. (2013). MicroRNA-17∼92 regulates effector and memory CD8 T-cell fates by modulating proliferation in response to infections. Blood. 121(22). 4473–4483. 78 indexed citations

6.

Feingold, Elise A., Laura A. Penny, Arthur W. Nienhuis, & Bernard G. Forget. (1999). An Olfactory Receptor Gene Is Located in the Extended Human β-Globin Gene Cluster and Is Expressed in Erythroid Cells. Genomics. 61(1). 15–23. 64 indexed citations

7.

Penny, Laura A., Marie L. Dell’Aquila, Marilyn C. Jones, et al.. (1995). Clinical and molecular characterization of patients with distal 11q deletions.. PubMed. 56(3). 676–83. 141 indexed citations

8.

Selleri, Licia, Marco Giovannini, Gary Hermanson, et al.. (1994). Yeast Artificial Chromosome Cloning of 3.2 Megabases within Chromosomal Band 11q24 Closely Linking c-ets 1 and Fli-1 and Encompassing the Ewing Sarcoma Breakpoint. Genomics. 22(1). 137–147. 11 indexed citations

9.

Penny, Laura A. & Bernard G. Forget. (1991). Genomic organization of the human erythropoietin receptor gene. Genomics. 11(4). 974–980. 23 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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