Abhay Uppe

451 total citations
25 papers, 258 citations indexed

About

Abhay Uppe is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Surgery. According to data from OpenAlex, Abhay Uppe has authored 25 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 7 papers in Infectious Diseases and 6 papers in Surgery. Recurrent topics in Abhay Uppe's work include Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Tuberculosis Research and Epidemiology (5 papers) and Respiratory Support and Mechanisms (5 papers). Abhay Uppe is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Tuberculosis Research and Epidemiology (5 papers) and Respiratory Support and Mechanisms (5 papers). Abhay Uppe collaborates with scholars based in India and United States. Abhay Uppe's co-authors include Girija Nair, Pranav Modi, Deepak Langade, Amit S Gharpure, Samir K. Shah, Akanksha Das, T Jayalakshmi, Manish Dubey, Abhishek Chandra and Soonie R Patel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Tuberculosis and Lung India.

In The Last Decade

Abhay Uppe

21 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhay Uppe India 5 143 76 63 59 53 25 258
Girija Nair India 5 143 1.0× 76 1.0× 63 1.0× 54 0.9× 53 1.0× 26 251
Alissa Dratch United States 3 87 0.6× 148 1.9× 155 2.5× 76 1.3× 40 0.8× 6 366
M. Claire Jarashow United States 3 84 0.6× 142 1.9× 151 2.4× 76 1.3× 40 0.8× 3 347
Mandana Gholami United Arab Emirates 5 105 0.7× 58 0.8× 102 1.6× 43 0.7× 37 0.7× 7 281
Sahil Thakar India 5 61 0.4× 34 0.4× 57 0.9× 27 0.5× 19 0.4× 19 241
Shuyuan Cheng China 4 78 0.5× 34 0.4× 55 0.9× 67 1.1× 27 0.5× 10 241
Joanna Przewrocka United Kingdom 2 78 0.5× 65 0.9× 129 2.0× 57 1.0× 37 0.7× 2 277
Julia Sinclair United States 2 46 0.3× 38 0.5× 41 0.7× 86 1.5× 25 0.5× 2 189
C. C. Leung China 6 58 0.4× 51 0.7× 142 2.3× 110 1.9× 48 0.9× 7 335
Patrick Kuma‐Aboagye Ghana 8 66 0.5× 46 0.6× 67 1.1× 39 0.7× 32 0.6× 16 196

Countries citing papers authored by Abhay Uppe

Since Specialization
Citations

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

Fields of papers citing papers by Abhay Uppe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhay Uppe

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

All Works

20 of 20 papers shown
2.
Modi, Pranav, et al.. (2021). Clinical profile of 116 patients undergoing post-COVID follow-up - A prospective study. 39–39. 1 indexed citations
3.
Kulkarni, Sandhya, et al.. (2021). Lung function indices in patients undergoing post-COVID assessment- An observational study. PA605–PA605. 1 indexed citations
4.
Modi, Pranav & Abhay Uppe. (2020). Lung Biopsy Techniques And Clinical Significance. StatPearls. 1 indexed citations
5.
Uppe, Abhay, et al.. (2020). Comparison Study of GENEXPERT versus TB MGIT Culture in Extra Pulmonary Tuberculosis. 8(1). 1–13. 1 indexed citations
6.
Modi, Pranav, et al.. (2020). COVID-19 Awareness Among Healthcare Students and Professionals in Mumbai Metropolitan Region: A Questionnaire-Based Survey. Cureus. 12(4). e7514–e7514. 198 indexed citations
8.
9.
Nair, Girija, et al.. (2019). Study of the diaphragm in chronic obstructive pulmonary disease using ultrasonography. Lung India. 36(4). 299–299. 18 indexed citations
11.
Uppe, Abhay, et al.. (2018). Multisystem Involvement of Langerhans Cell Histiocytosis.. PubMed. 66(4). 75–6. 2 indexed citations
12.
Nair, Girija, et al.. (2018). Long term sequelae of pulmonary tuberculosis and the factors predicting its development: A clinicoradiological study. Tuberculosis. PA2746–PA2746. 1 indexed citations
17.
Nair, Girija, et al.. (2017). Socioeconomic Conditions Contributing to Multi Drug Resistant (MDR) and Extremely Drug Resistant(XDR) Tuberculosis. Tuberculosis. PA2727–PA2727. 1 indexed citations
18.
Uppe, Abhay, et al.. (2015). Nephrobronchial fistula and lung abscess secondary to Xanthogranulomatous pyelonephritis. Lung India. 32(4). 392–392. 5 indexed citations
19.
Nair, Girija, et al.. (2009). Bloom syndrome with lung involvement. Lung India. 26(3). 92–92. 4 indexed citations
20.
Shah, Samir K., et al.. (2009). Acute lung injury following exposure to nitric acid. Lung India. 26(4). 149–149. 9 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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