Thirusha Lane

101 total papers · 7.6k total citations
66 papers, 2.8k citations indexed

About

Thirusha Lane is a scholar working on Molecular Biology, Nephrology and Epidemiology. According to data from OpenAlex, Thirusha Lane has authored 66 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 24 papers in Nephrology and 14 papers in Epidemiology. Recurrent topics in Thirusha Lane's work include Amyloidosis: Diagnosis, Treatment, Outcomes (45 papers), Parathyroid Disorders and Treatments (18 papers) and Inflammasome and immune disorders (14 papers). Thirusha Lane is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (45 papers), Parathyroid Disorders and Treatments (18 papers) and Inflammasome and immune disorders (14 papers). Thirusha Lane collaborates with scholars based in United Kingdom, United States and Germany. Thirusha Lane's co-authors include Philip N. Hawkins, Julian D. Gillmore, Helen J. Lachmann, Ashutosh Wechalekar, Carol Whelan, Marianna Fontana, Dorota Rowczenio, Janet A. Gilbertson, Darren Foard and Lisa Rannigan and has published in prestigious journals such as New England Journal of Medicine, Circulation and Blood.

In The Last Decade

Thirusha Lane

64 papers receiving 2.8k citations

Hit Papers

A new staging system for ... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Thirusha Lane 2.4k 833 525 439 422 66 2.8k
Jason D. Theis 3.2k 1.3× 1.6k 1.9× 681 1.3× 382 0.9× 442 1.0× 91 4.0k
Dorota Rowczenio 3.3k 1.4× 1.3k 1.6× 675 1.3× 267 0.6× 664 1.6× 86 3.8k
Janet A. Gilbertson 3.8k 1.6× 1.6k 1.9× 1.1k 2.1× 361 0.8× 653 1.5× 96 4.7k
B. Mougenot 1.0k 0.4× 1.2k 1.5× 211 0.4× 415 0.9× 330 0.8× 68 3.0k
Bruno Royer 1.3k 0.5× 247 0.3× 619 1.2× 737 1.7× 205 0.5× 83 2.5k
Simon Gibbs 1.8k 0.7× 688 0.8× 499 1.0× 322 0.7× 281 0.7× 75 2.2k
Federica Casiraghi 756 0.3× 399 0.5× 351 0.7× 1.2k 2.7× 177 0.4× 70 3.5k
A Bybee 1.7k 0.7× 367 0.4× 320 0.6× 87 0.2× 351 0.8× 36 2.2k
Vicki Rubin Kelley 1.0k 0.4× 835 1.0× 919 1.8× 263 0.6× 1.3k 3.2× 75 4.5k
Evangelia Pardali 2.2k 0.9× 106 0.1× 816 1.6× 338 0.8× 256 0.6× 47 3.6k

Countries citing papers authored by Thirusha Lane

Since Specialization
Citations

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

Fields of papers citing papers by Thirusha Lane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thirusha Lane

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