Lili Mo

48 total papers · 947 total citations
33 papers, 658 citations indexed

About

Lili Mo is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lili Mo has authored 33 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 14 papers in Molecular Biology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lili Mo's work include Lung Cancer Diagnosis and Treatment (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Tracheal and airway disorders (6 papers). Lili Mo is often cited by papers focused on Lung Cancer Diagnosis and Treatment (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Tracheal and airway disorders (6 papers). Lili Mo collaborates with scholars based in China, Sweden and United States. Lili Mo's co-authors include Maria Hadjiconstantinou, Anne‐Marie Duchemin, Qun Ren, Norton H. Neff, Erik Sundström, David W. Melton, Richard L. Mort, Birgitta Wiehager, Richard F. Cowburn and Åke Seiger and has published in prestigious journals such as Brain Research, Journal of Neurochemistry and British Journal of Cancer.

In The Last Decade

Lili Mo

32 papers receiving 647 citations

Author Peers

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

Author						Papers	Cites
Lili Mo	371	224	128	100	64	33	658
Tomoko Kamishima	471 1.3×	147 0.7×	119 0.9×	60 0.6×	89 1.4×	39	729
S. W. Morris	320 0.9×	127 0.6×	79 0.6×	69 0.7×	41 0.6×	22	700
Hans-Dieter Mennel	265 0.7×	209 0.9×	89 0.7×	44 0.4×	68 1.1×	26	707
E. Kyriakides	281 0.8×	196 0.9×	91 0.7×	46 0.5×	104 1.6×	35	788
Rajiv Joseph	316 0.9×	127 0.6×	179 1.4×	86 0.9×	63 1.0×	36	735
Ling Zhong	329 0.9×	141 0.6×	120 0.9×	68 0.7×	48 0.8×	38	697
Francesca Montarolo	282 0.8×	256 1.1×	104 0.8×	56 0.6×	29 0.5×	42	705
Zhiwen Song	292 0.8×	109 0.5×	127 1.0×	144 1.4×	58 0.9×	35	645
Seung Ro Han	230 0.6×	212 0.9×	325 2.5×	89 0.9×	41 0.6×	31	701
Masato Nagahama	258 0.7×	177 0.8×	83 0.6×	52 0.5×	135 2.1×	40	685

Countries citing papers authored by Lili Mo

Since Specialization

Citations

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

Fields of papers citing papers by Lili Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lili Mo

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