Tshering Lama-Sherpa

67 total papers · 701 total citations
22 papers, 519 citations indexed

About

Tshering Lama-Sherpa is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Tshering Lama-Sherpa has authored 22 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Tshering Lama-Sherpa's work include Retinal Development and Disorders (6 papers), Epigenetics and DNA Methylation (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Tshering Lama-Sherpa is often cited by papers focused on Retinal Development and Disorders (6 papers), Epigenetics and DNA Methylation (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Tshering Lama-Sherpa collaborates with scholars based in United States, Nepal and China. Tshering Lama-Sherpa's co-authors include Deborah L. Stenkamp, Lalita A. Shevde, Jordan Sand, Hans Maaswinkel, David R. Hyde, Lei Li, Justin T. Gibson, Pramod S. Gowda, Timothy N. Trotter and Deniz Peker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Tshering Lama-Sherpa

20 papers receiving 515 citations

Author Peers

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

Author Last Decade Papers Cites
Tshering Lama-Sherpa 371 120 87 76 69 22 519
Evgenya Y. Popova 470 1.3× 55 0.5× 46 0.5× 37 0.5× 101 1.5× 24 572
Amanda Evans 368 1.0× 50 0.4× 71 0.8× 43 0.6× 48 0.7× 27 586
Karine Sii-Felice 417 1.1× 53 0.4× 41 0.5× 71 0.9× 66 1.0× 17 588
Alejandra Valdivia 295 0.8× 153 1.3× 94 1.1× 87 1.1× 64 0.9× 21 592
M. Mirakhur 175 0.5× 52 0.4× 92 1.1× 69 0.9× 83 1.2× 17 524
Gang Xu 292 0.8× 84 0.7× 44 0.5× 51 0.7× 40 0.6× 26 561
Nan Wu 428 1.2× 66 0.6× 43 0.5× 61 0.8× 90 1.3× 23 564
Qin Chen 189 0.5× 34 0.3× 49 0.6× 43 0.6× 46 0.7× 27 462
Min Li 188 0.5× 69 0.6× 64 0.7× 69 0.9× 57 0.8× 20 534
Vincenza Caolo 310 0.8× 90 0.8× 79 0.9× 60 0.8× 69 1.0× 17 551

Countries citing papers authored by Tshering Lama-Sherpa

Since Specialization
Citations

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

Fields of papers citing papers by Tshering Lama-Sherpa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tshering Lama-Sherpa. 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 Tshering Lama-Sherpa. The network helps show where Tshering Lama-Sherpa may publish in the future.

Co-authorship network of co-authors of Tshering Lama-Sherpa

This figure shows the co-authorship network connecting the top 25 collaborators of Tshering Lama-Sherpa. A scholar is included among the top collaborators of Tshering Lama-Sherpa 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 Tshering Lama-Sherpa. Tshering Lama-Sherpa 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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