Meera Srinivasan

38 total papers · 1.0k total citations
24 papers, 791 citations indexed

About

Meera Srinivasan is a scholar working on Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Meera Srinivasan has authored 24 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrine and Autonomic Systems, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Molecular Biology. Recurrent topics in Meera Srinivasan's work include Neuroscience of respiration and sleep (10 papers), Neonatal and fetal brain pathology (4 papers) and Neuropeptides and Animal Physiology (4 papers). Meera Srinivasan is often cited by papers focused on Neuroscience of respiration and sleep (10 papers), Neonatal and fetal brain pathology (4 papers) and Neuropeptides and Animal Physiology (4 papers). Meera Srinivasan collaborates with scholars based in Sweden, United States and Australia. Meera Srinivasan's co-authors include Edward W. Gregg, Liane V. Davis, Ann Albright, Yiling J. Cheng, Ji Lin, Giuseppina Imperatore, Linda S. Geiss, Hugo Lagercrantz, Yuji Yamamoto and Michel Goiny and has published in prestigious journals such as Nature, The Lancet and The Journal of Comparative Neurology.

In The Last Decade

Meera Srinivasan

24 papers receiving 767 citations

Hit Papers

Trends in cause-specific ... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Meera Srinivasan 228 174 129 116 103 24 791
Bray Ga 95 0.4× 170 1.0× 89 0.7× 42 0.4× 89 0.9× 26 873
R. Brouard 80 0.4× 81 0.5× 268 2.1× 94 0.8× 161 1.6× 31 838
M T Lowy 131 0.6× 55 0.3× 53 0.4× 106 0.9× 43 0.4× 26 796
N.T. Malan 138 0.6× 61 0.4× 136 1.1× 33 0.3× 407 4.0× 37 881
Bruno Agustini 63 0.3× 30 0.2× 90 0.7× 34 0.3× 100 1.0× 23 885
Iain Smith 39 0.2× 385 2.2× 76 0.6× 78 0.7× 52 0.5× 36 847
V. R. Collins 244 1.1× 100 0.6× 81 0.6× 39 0.3× 112 1.1× 15 779
Sant P. Singh 344 1.5× 27 0.2× 157 1.2× 73 0.6× 42 0.4× 47 889
Lesley Walker 134 0.6× 70 0.4× 151 1.2× 60 0.5× 228 2.2× 28 736
L.‐T. Ho 248 1.1× 58 0.3× 104 0.8× 46 0.4× 58 0.6× 32 794

Countries citing papers authored by Meera Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Meera Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meera Srinivasan

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