Eric Daniel Tenda

About

Eric Daniel Tenda is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Eric Daniel Tenda has authored 16 papers receiving a total of 52 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Physiology. Recurrent topics in Eric Daniel Tenda’s work include Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), COVID-19 diagnosis using AI (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Eric Daniel Tenda is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), COVID-19 diagnosis using AI (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Eric Daniel Tenda collaborates with scholars based in Indonesia, United Kingdom and The Netherlands. Eric Daniel Tenda's co-authors include Pallav L. Shah, Carole A. Ridge, Arafa Aboelhassan, Samuel V. Kemp, Justin Garner, Guang‐Zhong Yang, Mali Shen, Siti Setiati, Michael R. Wilson and Hasti Robbie and has published in prestigious journals such as Scientific Reports, AJP Lung Cellular and Molecular Physiology and Heliyon.

In The Last Decade

Co-authorship network of co-authors of Eric Daniel Tenda i

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Fields of papers citing papers by Eric Daniel Tenda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Daniel Tenda. 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 Eric Daniel Tenda. The network helps show where Eric Daniel Tenda may publish in the future.

Countries citing papers authored by Eric Daniel Tenda

Since Specialization

Citations

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

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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