Ariya D. Lapan

1.9k total citations · 1 hit paper
6 papers, 1.5k citations indexed

About

Ariya D. Lapan is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Ariya D. Lapan has authored 6 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Genetics. Recurrent topics in Ariya D. Lapan's work include Muscle Physiology and Disorders (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and RNA modifications and cancer (1 paper). Ariya D. Lapan is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and RNA modifications and cancer (1 paper). Ariya D. Lapan collaborates with scholars based in United States, India and Germany. Ariya D. Lapan's co-authors include Anjana Rao, Vigo Heissmeyer, Liang Guo, Aidong Han, Diane Mathis, James C. Stroud, Steven F. Ziegler, Christophe Benoıst, Yongqing Wu and D.L. Bates and has published in prestigious journals such as Nature, Cell and Human Molecular Genetics.

In The Last Decade

Ariya D. Lapan

6 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

FOXP3 Controls Regulatory T Cell Function through Cooperation with NFAT

2006 937 citations Yongqing Wu, Vigo Heissmeyer et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ariya D. Lapan United States	6	795	569	271	182	167	6	1.5k
Hiraki Sakuta Japan	19	737 0.9×	864 1.5×	507 1.9×	113 0.6×	145 0.9×	28	1.8k
Isabel Lorenzo United States	11	578 0.7×	1.0k 1.8×	327 1.2×	544 3.0×	129 0.8×	19	2.1k
Beverly A. Karpinski United States	18	322 0.4×	742 1.3×	105 0.4×	221 1.2×	133 0.8×	28	1.3k
Akihiro Fujikawa Japan	27	463 0.6×	999 1.8×	271 1.0×	99 0.5×	121 0.7×	44	1.9k
Christopher R. Bye Australia	23	412 0.5×	682 1.2×	508 1.9×	96 0.5×	62 0.4×	31	1.8k
Ryan M. Teague United States	19	757 1.0×	571 1.0×	165 0.6×	600 3.3×	499 3.0×	38	1.7k
H. Elizabeth Shick United States	12	426 0.5×	763 1.3×	331 1.2×	80 0.4×	254 1.5×	14	1.7k
John M. Proctor United States	6	334 0.4×	429 0.8×	433 1.6×	53 0.3×	69 0.4×	6	1.0k
Elizabeth A. Novotny United States	16	215 0.3×	669 1.2×	330 1.2×	147 0.8×	250 1.5×	22	1.4k
Robert W. Wysocki United States	6	560 0.7×	338 0.6×	82 0.3×	97 0.5×	255 1.5×	7	1.2k

Countries citing papers authored by Ariya D. Lapan

Since Specialization

Citations

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

Fields of papers citing papers by Ariya D. Lapan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ariya D. Lapan. 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 Ariya D. Lapan. The network helps show where Ariya D. Lapan may publish in the future.

Co-authorship network of co-authors of Ariya D. Lapan

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

All Works

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6 of 6 papers shown

1.

Rozkalne, Anete, C. Adkin, Jinhong Meng, et al.. (2013). Mouse Regenerating Myofibers Detected as False-Positive Donor Myofibers with Anti-Human Spectrin. Human Gene Therapy. 25(1). 73–81. 13 indexed citations

2.

Lapan, Ariya D., Anete Rozkalne, & Emanuela Gussoni. (2012). Human fetal skeletal muscle contains a myogenic side population that expresses the melanoma cell-adhesion molecule. Human Molecular Genetics. 21(16). 3668–3680. 16 indexed citations

3.

Lapan, Ariya D. & Emanuela Gussoni. (2011). Isolation and Characterization of Human Fetal Myoblasts. Methods in molecular biology. 798. 3–19. 14 indexed citations

4.

Ansel, K. Mark, William A. Pastor, Nicola Rath, et al.. (2008). Mouse Eri1 interacts with the ribosome and catalyzes 5.8S rRNA processing. Nature Structural & Molecular Biology. 15(5). 523–530. 49 indexed citations

5.

Lin, Yingxi, Brenda L. Bloodgood, Jessica Hauser Chatterjee, et al.. (2008). Activity-dependent regulation of inhibitory synapse development by Npas4. Nature. 455(7217). 1198–1204. 470 indexed citations

6.

Wu, Yongqing, Vigo Heissmeyer, Markus Feuerer, et al.. (2006). FOXP3 Controls Regulatory T Cell Function through Cooperation with NFAT. Cell. 126(2). 375–387. 937 indexed citations breakdown →

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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