Ranendra Das

1.0k total citations
16 papers, 575 citations indexed

About

Ranendra Das is a scholar working on Infectious Diseases, Epidemiology and Applied Microbiology and Biotechnology. According to data from OpenAlex, Ranendra Das has authored 16 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 7 papers in Epidemiology and 5 papers in Applied Microbiology and Biotechnology. Recurrent topics in Ranendra Das's work include Tuberculosis Research and Epidemiology (9 papers), Pneumonia and Respiratory Infections (6 papers) and Antibiotic Use and Resistance (5 papers). Ranendra Das is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Pneumonia and Respiratory Infections (6 papers) and Antibiotic Use and Resistance (5 papers). Ranendra Das collaborates with scholars based in United States, India and Canada. Ranendra Das's co-authors include Veena Das, Jishnu Das, Madhukar Pai, Ada Kwan, Benjamin Daniels, Ramnath Subbaraman, Srinath Satyanarayana, Sofi Bergkvist, Vaibhav Saria and Ravi V. Shah and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Social Science & Medicine.

In The Last Decade

Ranendra Das

15 papers receiving 562 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ranendra Das United States 10 223 161 106 100 96 16 575
Yibeltal Assefa Ethiopia 11 80 0.4× 103 0.6× 131 1.2× 39 0.4× 72 0.8× 32 484
Clement T. Narh Ghana 14 147 0.7× 39 0.2× 61 0.6× 61 0.6× 186 1.9× 34 494
Xiaoyun Liang China 14 20 0.1× 57 0.4× 118 1.1× 112 1.1× 95 1.0× 30 419
Dangui Zhang China 11 67 0.3× 135 0.8× 78 0.7× 9 0.1× 24 0.3× 30 424
Dan Yedu Quansah Switzerland 12 55 0.2× 137 0.9× 146 1.4× 41 0.4× 164 1.7× 43 716
Tido von Schoen-Angerer Switzerland 12 115 0.5× 100 0.6× 56 0.5× 40 0.4× 71 0.7× 40 568
Shaofa Nie China 11 80 0.4× 104 0.6× 68 0.6× 40 0.4× 36 0.4× 16 424
Divya Nair India 11 67 0.3× 79 0.5× 52 0.5× 20 0.2× 55 0.6× 59 400
Brenda Waning United States 8 128 0.6× 53 0.3× 60 0.6× 54 0.5× 132 1.4× 13 527
Perry W. Payne United States 8 29 0.1× 70 0.4× 147 1.4× 19 0.2× 57 0.6× 25 438

Countries citing papers authored by Ranendra Das

Since Specialization
Citations

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

Fields of papers citing papers by Ranendra Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranendra Das

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

All Works

16 of 16 papers shown
1.
Daniels, Benjamin, Giorgia Sulis, Jishnu Das, et al.. (2023). Do private providers initiate anti-tuberculosis therapy on the basis of chest radiographs? A standardised patient study in urban India. The Lancet Regional Health - Southeast Asia. 13. 100152–100152. 4 indexed citations
2.
Daniels, Benjamin, Giorgia Sulis, Jishnu Das, et al.. (2023). Use of standardised patients to assess tuberculosis case management by private pharmacies in Patna, India: A repeat cross-sectional study. SHILAP Revista de lepidopterología. 3(5). e0001898–e0001898.
3.
Daniels, Benjamin, Giorgia Sulis, Jishnu Das, et al.. (2022). Do Private Providers Initiate Anti-Tuberculosis Therapy on the Basis of Chest Radiographs? A Standardised Patient Study in Urban India. SSRN Electronic Journal. 2 indexed citations
4.
Daniels, Benjamin, Daksha Shah, Ada Kwan, et al.. (2022). Tuberculosis diagnosis and management in the public versus private sector: a standardised patients study in Mumbai, India. BMJ Global Health. 7(10). e009657–e009657. 10 indexed citations
5.
Das, Veena, Benjamin Daniels, Ada Kwan, et al.. (2021). Simulated patients and their reality: An inquiry into theory and method. Social Science & Medicine. 300. 114571–114571. 13 indexed citations
6.
Daniels, Benjamin, Ada Kwan, Srinath Satyanarayana, et al.. (2019). Use of standardised patients to assess gender differences in quality of tuberculosis care in urban India: a two-city, cross-sectional study. The Lancet Global Health. 7(5). e633–e643. 19 indexed citations
7.
Kwan, Ada, Benjamin Daniels, Vaibhav Saria, et al.. (2018). Variations in the quality of tuberculosis care in urban India: A cross-sectional, standardized patient study in two cities. PLoS Medicine. 15(9). e1002653–e1002653. 88 indexed citations
8.
Kwan, Ada, Benjamin Daniels, Vaibhav Saria, et al.. (2018). Variations in the Quality of Tuberculosis Care in Urban India: A Cross-Sectional, Standardized Patient Study in Two Cities. The World Bank Open Knowledge Repository (World Bank). 3 indexed citations
9.
Barik, Anamitra, Ravi V. Shah, Aferdita Spahillari, et al.. (2016). Hepatic steatosis is associated with cardiometabolic risk in a rural Indian population: A prospective cohort study. International Journal of Cardiology. 225. 161–166. 9 indexed citations
10.
Satyanarayana, Srinath, Ada Kwan, Benjamin Daniels, et al.. (2016). Use of standardised patients to assess antibiotic dispensing for tuberculosis by pharmacies in urban India: a cross-sectional study. The Lancet Infectious Diseases. 16(11). 1261–1268. 80 indexed citations
11.
Satyanarayana, Srinath, Ada Kwan, Benjamin Daniels, et al.. (2016). Use of Standardised Patients to Assess Antibiotic Dispensing for Tuberculosis by Pharmacies in Urban India: A Cross-Sectional Study. Elsevier eBooks. 3 indexed citations
12.
Das, Jishnu, Ada Kwan, Benjamin Daniels, et al.. (2015). Use of standardised patients to assess quality of tuberculosis care: a pilot, cross-sectional study. The Lancet Infectious Diseases. 15(11). 1305–1313. 161 indexed citations
13.
Melman, Yonathan F., Ravi V. Shah, Kirsty Danielson, et al.. (2015). Circulating MicroRNA-30d Is Associated With Response to Cardiac Resynchronization Therapy in Heart Failure and Regulates Cardiomyocyte Apoptosis. Circulation. 131(25). 2202–2216. 123 indexed citations
14.
Das, Jishnu, Ranendra Das, & Veena Das. (2012). The mental health gender-gap in urban India: Patterns and narratives. Social Science & Medicine. 75(9). 1660–1672. 29 indexed citations
15.
Shah, Ravi V., Robert Altman, Mi Young Park, et al.. (2012). Usefulness of Hemoglobin A1c to Predict Outcome After Cardiac Resynchronization Therapy in Patients With Diabetes Mellitus and Heart Failure. The American Journal of Cardiology. 110(5). 683–688. 14 indexed citations
16.
Das, Veena & Ranendra Das. (2005). URBAN HEALTH AND PHARMACEUTICAL CONSUMPTION IN DELHI, INDIA. Journal of Biosocial Science. 38(1). 69–82. 17 indexed citations

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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