Sairam Bade

522 total citations
6 papers, 170 citations indexed

About

Sairam Bade is a scholar working on Infectious Diseases, Surgery and Health. According to data from OpenAlex, Sairam Bade has authored 6 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Surgery and 2 papers in Health. Recurrent topics in Sairam Bade's work include COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Vaccine Coverage and Hesitancy (2 papers). Sairam Bade is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Vaccine Coverage and Hesitancy (2 papers). Sairam Bade collaborates with scholars based in United States. Sairam Bade's co-authors include Venky Soundararajan, John Halamka, Andrew D. Badley, Colin Pawlowski, John C. O’Horo, Patrick J. Lenehan, Amy W. Williams, Gregory J. Gores, David Zemmour and Melanie D. Swift and has published in prestigious journals such as JAMA Network Open, npj Digital Medicine and Journal of Stroke and Cerebrovascular Diseases.

In The Last Decade

Sairam Bade

6 papers receiving 166 citations

Peers

Countries citing papers authored by Sairam Bade

Since Specialization

Citations

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

Fields of papers citing papers by Sairam Bade

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sairam Bade

This figure shows the co-authorship network connecting the top 25 collaborators of Sairam Bade. A scholar is included among the top collaborators of Sairam Bade 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 Sairam Bade. Sairam Bade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	Development of Electronic Health Record-Based Machine Learning Models to Predict Barrett's Esophagus and Esophageal Adenocarcinoma Risk 2023 ·Clinical and Translational Gastroenterology ·Prasad G. Iyer, (unknown), Cadman L. Leggett, Don C. Codipilly, Halim Abbas, Kevin K. Anderson, John B. Kisiel, (unknown), Samir Awasthi, Praveen Anand, Praveen Kumar, (unknown), (unknown), Sairam Bade, (unknown), (unknown), (unknown), (unknown)	21
2	Cerebral Venous Sinus Thrombosis is not Significantly Linked to COVID-19 Vaccines or Non-COVID Vaccines in a Large Multi-State Health System 2021 ·Journal of Stroke and Cerebrovascular Diseases ·Colin Pawlowski, (unknown), Samir Awasthi, (unknown), Patrick J. Lenehan, AJ Venkatakrishnan, Sairam Bade, John C. O’Horo, Abinash Virk, Melanie D. Swift, Amy W. Williams, Gregory J. Gores, Andrew D. Badley, John Halamka, Venky Soundararajan	29
3	Building a best-in-class automated de-identification tool for electronic health records through ensemble learning 2021 ·Patterns ·(unknown), (unknown), Bradley Malin, Vineet Agarwal, Sairam Bade, J. Anderson, Jason Ross, William A. Faubion, John Halamka, Venky Soundararajan, (unknown)	28
4	Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications 2021 ·npj Digital Medicine ·AJ Venkatakrishnan, Colin Pawlowski, David Zemmour, (unknown), Akash Anand, (unknown), (unknown), Arjun Puranik, (unknown), Sairam Bade, Rakesh Barve, (unknown), John C. O’Horo, Andrew D. Badley, John Halamka, Venky Soundararajan	18
5	Real-World Effectiveness of Ad26.COV2.S Adenoviral Vector Vaccine for COVID-19 2021 ·SSRN Electronic Journal ·(unknown), David Zemmour, Tudor Hughes, Tudor Cristea‐Platon, Patrick J. Lenehan, Colin Pawlowski, Sairam Bade, John C. O’Horo, Gregory J. Gores, Amy W. Williams, Andrew D. Badley, John Halamka, (unknown), Melanie D. Swift, (unknown), Venky Soundararajan	14
6	Analysis of the Effectiveness of the Ad26.COV2.S Adenoviral Vector Vaccine for Preventing COVID-19 2021 ·JAMA Network Open ·(unknown), David Zemmour, Tudor Hughes, (unknown), Tudor Cristea‐Platon, Patrick J. Lenehan, Colin Pawlowski, Sairam Bade, John C. O’Horo, Gregory J. Gores, Amy W. Williams, Andrew D. Badley, John Halamka, Abinash Virk, Melanie D. Swift, Tyler Wagner, Venky Soundararajan	60

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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