Lei Ma

69 total papers · 2.7k total citations
52 papers, 1.4k citations indexed

About

Lei Ma is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lei Ma has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Pharmacology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lei Ma's work include Receptor Mechanisms and Signaling (12 papers), Antifungal resistance and susceptibility (10 papers) and Neuroscience and Neuropharmacology Research (10 papers). Lei Ma is often cited by papers focused on Receptor Mechanisms and Signaling (12 papers), Antifungal resistance and susceptibility (10 papers) and Neuroscience and Neuropharmacology Research (10 papers). Lei Ma collaborates with scholars based in United States, China and Germany. Lei Ma's co-authors include Gopal Krishna, Edward O’Mara, Monika Martinho, George L. Drusano, Richard A. Preston, M. Martinho, William J. Ray, Marion Wittmann, Matthew A. Seager and George D. Hartman and has published in prestigious journals such as Neurology, Journal of Medicinal Chemistry and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Lei Ma

50 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lei Ma 479 452 433 388 229 52 1.4k
Adedayo Adedoyin 393 0.8× 304 0.7× 277 0.6× 262 0.7× 96 0.4× 62 1.7k
Hugues Chanteux 447 0.9× 210 0.5× 157 0.4× 308 0.8× 197 0.9× 38 1.7k
S. Casey Laizure 277 0.6× 201 0.4× 112 0.3× 504 1.3× 105 0.5× 53 1.4k
Elaine Radwanski 211 0.4× 423 0.9× 371 0.9× 299 0.8× 59 0.3× 62 1.8k
Yasuhiro Tsuji 254 0.5× 344 0.8× 536 1.2× 526 1.4× 43 0.2× 100 1.5k
Olivier Tribut 185 0.4× 415 0.9× 297 0.7× 295 0.8× 42 0.2× 48 1.4k
Pasquale Linciano 505 1.1× 137 0.3× 99 0.2× 517 1.3× 125 0.5× 63 1.3k
Michael S. Schwartz 327 0.7× 252 0.6× 362 0.8× 375 1.0× 29 0.1× 42 1.6k
Thomas L. Hunt 333 0.7× 195 0.4× 293 0.7× 302 0.8× 37 0.2× 60 1.8k
Barry Dvorchik 316 0.7× 229 0.5× 505 1.2× 519 1.3× 45 0.2× 47 1.7k

Countries citing papers authored by Lei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lei Ma. 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 Lei Ma. The network helps show where Lei Ma may publish in the future.

Co-authorship network of co-authors of Lei Ma

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

All Works

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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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