Leslie A. Cunningham

885 total citations
8 papers, 706 citations indexed

About

Leslie A. Cunningham is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Leslie A. Cunningham has authored 8 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Physiology. Recurrent topics in Leslie A. Cunningham's work include Cellular transport and secretion (3 papers), Microtubule and mitosis dynamics (3 papers) and Retinal Development and Disorders (2 papers). Leslie A. Cunningham is often cited by papers focused on Cellular transport and secretion (3 papers), Microtubule and mitosis dynamics (3 papers) and Retinal Development and Disorders (2 papers). Leslie A. Cunningham collaborates with scholars based in United States, Australia and India. Leslie A. Cunningham's co-authors include Richard Kahn, Chengjing Zhou, Michelle A. Kelliher, Adam I. Marcus, Yawei Li, Punya Shrivastava-Ranjan, Laura A. Volpicelli‐Daley, Kyle Draheim, Levi J. Beverly and Vishva M. Sharma and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Molecular and Cellular Biology.

In The Last Decade

Leslie A. Cunningham

8 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leslie A. Cunningham United States 8 510 209 111 104 80 8 706
Xiongfong Chen United States 16 643 1.3× 143 0.7× 74 0.7× 135 1.3× 29 0.4× 25 878
Eva Loh Singapore 17 395 0.8× 343 1.6× 157 1.4× 55 0.5× 38 0.5× 24 795
Claudia Canzonetta Italy 12 1.1k 2.1× 73 0.3× 121 1.1× 159 1.5× 36 0.5× 16 1.2k
Kaori Shinmyozu Japan 18 952 1.9× 144 0.7× 93 0.8× 123 1.2× 39 0.5× 28 1.2k
Nicola Crosetto Germany 5 717 1.4× 130 0.6× 86 0.8× 110 1.1× 84 1.1× 7 822
Christi Andrin Canada 8 644 1.3× 329 1.6× 138 1.2× 47 0.5× 23 0.3× 9 838
Keiichi Sakakibara Japan 10 345 0.7× 83 0.4× 86 0.8× 41 0.4× 128 1.6× 16 546
Hans‐Martin Herz United States 10 534 1.0× 268 1.3× 131 1.2× 35 0.3× 23 0.3× 13 699
Mary Shen United States 10 578 1.1× 253 1.2× 187 1.7× 76 0.7× 13 0.2× 12 829
Teruhiko Suzuki Japan 18 619 1.2× 81 0.4× 161 1.5× 252 2.4× 16 0.2× 55 914

Countries citing papers authored by Leslie A. Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by Leslie A. Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leslie A. Cunningham

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

All Works

8 of 8 papers shown
1.
Francis, Joshua W., Laura Newman, Leslie A. Cunningham, & Richard Kahn. (2017). A Trimer Consisting of the Tubulin-specific Chaperone D (TBCD), Regulatory GTPase ARL2, and β-Tubulin Is Required for Maintaining the Microtubule Network. Journal of Biological Chemistry. 292(10). 4336–4349. 35 indexed citations
2.
Sarma, Jayasri Das, Jeffrey D. Ritzenthaler, Leslie A. Cunningham, et al.. (2009). ERp29 Restricts Connexin43 Oligomerization in the Endoplasmic Reticulum. Molecular Biology of the Cell. 20(10). 2593–2604. 75 indexed citations
3.
Cunningham, Leslie A. & Richard Kahn. (2008). Cofactor D Functions as a Centrosomal Protein and Is Required for the Recruitment of the γ-Tubulin Ring Complex at Centrosomes and Organization of the Mitotic Spindle. Journal of Biological Chemistry. 283(11). 7155–7165. 37 indexed citations
4.
Zhou, Chengjing, Leslie A. Cunningham, Adam I. Marcus, Yawei Li, & Richard Kahn. (2006). Arl2 and Arl3 Regulate Different Microtubule-dependent Processes. Molecular Biology of the Cell. 17(5). 2476–2487. 126 indexed citations
5.
Sharma, Vishva M., Jennifer A. Calvo, Kyle Draheim, et al.. (2006). Notch1 Contributes to Mouse T-Cell Leukemia by Directly Inducing the Expression of c-myc. Molecular and Cellular Biology. 26(21). 8022–8031. 209 indexed citations
6.
Volpicelli‐Daley, Laura A., et al.. (2005). Arf family GTPases: roles in membrane traffic and microtubule dynamics. Biochemical Society Transactions. 33(6). 1269–1269. 90 indexed citations
7.
Kahn, Richard, et al.. (2005). Arf family GTPases: roles in membrane traffic and microtubule dynamics. Biochemical Society Transactions. 33(6). 1269–1272. 76 indexed citations
8.
Oikemus, Sarah, et al.. (2002). The Death Domain Kinase RIP Protects Thymocytes from Tumor Necrosis Factor Receptor Type 2–induced Cell Death. The Journal of Experimental Medicine. 196(1). 15–26. 58 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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