L. Nandini Moorthy

59 total papers · 1.1k total citations
33 papers, 549 citations indexed

About

L. Nandini Moorthy is a scholar working on Hematology, Rheumatology and Speech and Hearing. According to data from OpenAlex, L. Nandini Moorthy has authored 33 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hematology, 17 papers in Rheumatology and 10 papers in Speech and Hearing. Recurrent topics in L. Nandini Moorthy's work include Autoimmune and Inflammatory Disorders Research (21 papers), Systemic Lupus Erythematosus Research (17 papers) and Adolescent and Pediatric Healthcare (10 papers). L. Nandini Moorthy is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (21 papers), Systemic Lupus Erythematosus Research (17 papers) and Adolescent and Pediatric Healthcare (10 papers). L. Nandini Moorthy collaborates with scholars based in United States, Canada and India. L. Nandini Moorthy's co-authors include Thomas J A Lehman, Karen Onel, Peter Kokol, M.J. Harrison, Afton L. Hassett, Margaret G. E. Peterson, Melanie J. Harrison, Amanda B. Feinstein, Akihiko Masuda and Donald P. Goldsmith and has published in prestigious journals such as PEDIATRICS, Arthritis Care & Research and Lupus.

In The Last Decade

L. Nandini Moorthy

32 papers receiving 536 citations

Author Peers

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

Author Last Decade Papers Cites
L. Nandini Moorthy 304 272 148 121 67 33 549
Debajit Sen 244 0.8× 212 0.8× 108 0.7× 51 0.4× 79 1.2× 47 531
Rik Joos 388 1.3× 220 0.8× 34 0.2× 137 1.1× 77 1.1× 29 605
Erica Lawson 182 0.6× 93 0.3× 190 1.3× 94 0.8× 128 1.9× 32 494
Megan L. Curran 150 0.5× 77 0.3× 83 0.6× 111 0.9× 56 0.8× 33 532
Michael L. Miller 149 0.5× 146 0.5× 57 0.4× 92 0.8× 34 0.5× 34 587
Lisabeth V. Scalzi 237 0.8× 47 0.2× 50 0.3× 149 1.2× 100 1.5× 20 545
Ayman Hammad 159 0.5× 33 0.1× 74 0.5× 134 1.1× 112 1.7× 47 574
Diana Milojevic 119 0.4× 377 1.4× 214 1.4× 156 1.3× 65 1.0× 24 575
Natalie J. Shiff 172 0.6× 331 1.2× 217 1.5× 61 0.5× 90 1.3× 57 567
P. Hollingworth 238 0.8× 110 0.4× 68 0.5× 21 0.2× 43 0.6× 29 585

Countries citing papers authored by L. Nandini Moorthy

Since Specialization
Citations

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

Fields of papers citing papers by L. Nandini Moorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Nandini Moorthy. 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 L. Nandini Moorthy. The network helps show where L. Nandini Moorthy may publish in the future.

Co-authorship network of co-authors of L. Nandini Moorthy

This figure shows the co-authorship network connecting the top 25 collaborators of L. Nandini Moorthy. A scholar is included among the top collaborators of L. Nandini Moorthy 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 L. Nandini Moorthy. L. Nandini Moorthy 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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