Sailesh Lodha

49 total papers · 515 total citations
24 papers, 277 citations indexed

About

Sailesh Lodha is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Sailesh Lodha has authored 24 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Cardiology and Cardiovascular Medicine and 6 papers in Surgery. Recurrent topics in Sailesh Lodha's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diabetes Management and Research (4 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). Sailesh Lodha is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diabetes Management and Research (4 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). Sailesh Lodha collaborates with scholars based in India, United States and Canada. Sailesh Lodha's co-authors include Rajeev Gupta, Anil Bhansali, Krishna Kumar Sharma, Arthur Asirvatham, Rajesh Khadgawat, Priyanka Singh, Satinath Mukhopadhyay, Sanjay Kumar Bhadada, Anuj Maheshwari and Ashutosh Kumar Arya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Postgraduate Medical Journal and Journal of Perinatology.

In The Last Decade

Sailesh Lodha

21 papers receiving 268 citations

Author Peers

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

Author Last Decade Papers Cites
Sailesh Lodha 111 98 65 45 38 24 277
İnan Anaforoğlu 160 1.4× 77 0.8× 30 0.5× 77 1.7× 26 0.7× 31 331
Eduardo Faure 219 2.0× 91 0.9× 51 0.8× 22 0.5× 34 0.9× 17 299
Kalie L. Tommerdahl 137 1.2× 61 0.6× 71 1.1× 24 0.5× 33 0.9× 33 317
Karin Littmann 83 0.7× 127 1.3× 72 1.1× 47 1.0× 21 0.6× 40 315
Meiyu Cui 66 0.6× 75 0.8× 153 2.4× 63 1.4× 30 0.8× 20 308
Jacek Imiela 75 0.7× 86 0.9× 37 0.6× 44 1.0× 22 0.6× 36 331
D. G. Vidt 57 0.5× 138 1.4× 41 0.6× 68 1.5× 23 0.6× 24 327
Yume Nohara 66 0.6× 68 0.7× 41 0.6× 87 1.9× 71 1.9× 33 309
Rongwen Bian 98 0.9× 34 0.3× 75 1.2× 37 0.8× 50 1.3× 22 293
Sol Carriazo 57 0.5× 50 0.5× 116 1.8× 22 0.5× 21 0.6× 16 299

Countries citing papers authored by Sailesh Lodha

Since Specialization
Citations

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

Fields of papers citing papers by Sailesh Lodha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sailesh Lodha

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