Matthew A. Lalli

3.3k citations
18 papers · 1.3k indexed · 1 hit paper · h-index 14
Topics
CRISPR and Genetic Engineering (5 papers)Renal and related cancers (4 papers)Pluripotent Stem Cells Research (3 papers)

In The Last Decade

Matthew A. Lalli

18 papers receiving 1.3k citations

Hit Papers

Differentiated kidney epithelial cells repair injured pro...20132026201720212013100200300

Peers

Matthew A. Lalli
Comparison fields: 5 of 105
  • Molecular Biology 921
  • Nephrology 196
  • Biomedical Engineering 178
  • Genetics 155
  • Infectious Diseases 151
Replace Jung-Woo Seo with:
Jung-Woo Seo South Korea
Alberto C. Vitari United Kingdom
Florin Tuluc United States
Yolanda Campos Spain
Carmela Zincarelli Italy
Gaël Nicolas France
Alessio Palini Italy
Takahito Tamai Japan
Xiang Yao United States
Matthew A. Lalli relative to Jung-Woo Seo South Korea Jung-Woo Seo's profile →
Citations per field
00.5×9.4×
Jung-Woo Seo · 1×
Citations per year

Countries citing papers authored by Matthew A. Lalli

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Lalli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew A. Lalli

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 9
2 26
3 1
4 13
5 172
6 46
7 47
8 115
9 13
10 49
11 77
12 66
13 82
14 64
15 147
16
Differentiated kidney epithelial cells repair injured proximal tubulebreakdown →
350
17 34
18 13

About Matthew A. Lalli

Matthew A. Lalli is a scholar working on Aging, Biological Psychiatry and Developmental Neuroscience, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Renal and related cancers (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Nephrology (196 citations), Aging (27 citations) and Molecular Biology (921 citations). Matthew A. Lalli has collaborated with scholars based in United States, Australia and Colombia. Frequent co-authors include Benjamin D. Humphreys, Akio Kobayashi, Tetsuro Kusaba, Rafael Kramann, Kenneth S. Kosik, Yidi Wang, Jiwon Jang, Hyung-Seok Kim, Robi D. Mitra and Jeffrey Milbrandt. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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