Lang Rao

24 total papers · 2.8k total citations
12 papers, 275 citations indexed

About

Lang Rao is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Lang Rao has authored 12 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Epidemiology and 3 papers in Cell Biology. Recurrent topics in Lang Rao's work include Autophagy in Disease and Therapy (5 papers), Ubiquitin and proteasome pathways (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Lang Rao is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Ubiquitin and proteasome pathways (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Lang Rao collaborates with scholars based in United States, China and India. Lang Rao's co-authors include N. Tony Eissa, Youbao Sha, Carmine Settembre, Andrea Ballabio, Elmoataz Abdel Fattah, Joseph M. Hyser, Yi Xu, Abhisek Bhattacharya, Jin Na Shin and N. Tony Eissa and has published in prestigious journals such as The EMBO Journal, The Journal of Immunology and International Journal of Molecular Sciences.

In The Last Decade

Lang Rao

10 papers receiving 275 citations

Author Peers

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

Author Last Decade Papers Cites
Lang Rao 159 146 60 28 28 12 275
Tatsuro Maruyama 131 0.8× 158 1.1× 64 1.1× 22 0.8× 26 0.9× 13 295
Waka Kojima 169 1.1× 166 1.1× 57 0.9× 20 0.7× 51 1.8× 12 298
Kaivon Assani 120 0.8× 121 0.8× 30 0.5× 11 0.4× 23 0.8× 10 313
Rachida Tacine 201 1.3× 73 0.5× 122 2.0× 16 0.6× 36 1.3× 9 312
Jun Hoe Kim 170 1.1× 169 1.2× 67 1.1× 28 1.0× 16 0.6× 11 313
Gianna Di Sario 119 0.7× 57 0.4× 43 0.7× 12 0.4× 21 0.8× 10 295
Isabelle Hamer 129 0.8× 29 0.2× 71 1.2× 21 0.8× 68 2.4× 15 272
Katie Marchbank 130 0.8× 121 0.8× 47 0.8× 12 0.4× 14 0.5× 8 227
Tim Bergbrede 151 0.9× 87 0.6× 61 1.0× 34 1.2× 60 2.1× 8 295
Gábor Glatz 134 0.8× 132 0.9× 145 2.4× 57 2.0× 44 1.6× 9 313

Countries citing papers authored by Lang Rao

Since Specialization
Citations

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

Fields of papers citing papers by Lang Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lang Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Lang Rao. A scholar is included among the top collaborators of Lang Rao 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 Lang Rao. Lang Rao 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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2026