Maunank Shah

1.5k total citations
25 papers, 911 citations indexed

About

Maunank Shah is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Maunank Shah has authored 25 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Infectious Diseases, 20 papers in Epidemiology and 10 papers in Surgery. Recurrent topics in Maunank Shah's work include Tuberculosis Research and Epidemiology (19 papers), Mycobacterium research and diagnosis (11 papers) and Pneumocystis jirovecii pneumonia detection and treatment (9 papers). Maunank Shah is often cited by papers focused on Tuberculosis Research and Epidemiology (19 papers), Mycobacterium research and diagnosis (11 papers) and Pneumocystis jirovecii pneumonia detection and treatment (9 papers). Maunank Shah collaborates with scholars based in United States, South Africa and United Kingdom. Maunank Shah's co-authors include Susan E. Dorman, Karen R Steingart, Nandini Dendukuri, Claudia M. Denkinger, Caitlin Reed, Neil Martinson, Desmond J. Martin, Ebrahim Variava, Richard E. Chaisson and Ruvandhi R. Nathavitharana and has published in prestigious journals such as Nature Communications, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Maunank Shah

23 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maunank Shah United States 15 774 675 319 61 44 25 911
Heidi Albert Switzerland 15 1.1k 1.4× 935 1.4× 405 1.3× 78 1.3× 60 1.4× 45 1.2k
W Githui Kenya 18 915 1.2× 805 1.2× 455 1.4× 45 0.7× 21 0.5× 39 1.1k
F. Drobniewski United Kingdom 19 725 0.9× 620 0.9× 400 1.3× 52 0.9× 12 0.3× 30 877
Lydia Nakiyingi Uganda 16 559 0.7× 505 0.7× 274 0.9× 54 0.9× 36 0.8× 49 804
Carlos M. Pérez‐Vélez United States 14 899 1.2× 631 0.9× 447 1.4× 65 1.1× 15 0.3× 30 1.1k
Laura Lenders South Africa 9 554 0.7× 455 0.7× 339 1.1× 55 0.9× 24 0.5× 12 693
Hamdan Al Jahdali Saudi Arabia 10 551 0.7× 467 0.7× 270 0.8× 60 1.0× 16 0.4× 20 686
Ellen H. Lee United States 12 343 0.4× 355 0.5× 182 0.6× 45 0.7× 37 0.8× 18 621
Shu‐Hsing Cheng Taiwan 16 443 0.6× 644 1.0× 83 0.3× 38 0.6× 16 0.4× 67 979
Christopher Gilpin Switzerland 18 344 0.4× 345 0.5× 127 0.4× 41 0.7× 16 0.4× 30 622

Countries citing papers authored by Maunank Shah

Since Specialization
Citations

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

Fields of papers citing papers by Maunank Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maunank Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Maunank Shah. A scholar is included among the top collaborators of Maunank Shah 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 Maunank Shah. Maunank Shah 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.
Olbrich, Laura, Alexander Kay, Stephanie Bjerrum, et al.. (2024). Parallel use of low-complexity automated nucleic acid amplification tests on respiratory samples and stool with or without lateral flow lipoarabinomannan assays to detect pulmonary tuberculosis disease in children. Cochrane Database of Systematic Reviews. 2024(5). CD016071–CD016071. 2 indexed citations
3.
Shah, Maunank, Elizabeth W. Tucker, Laurence Carroll, et al.. (2024). Dynamic PET reveals compartmentalized brain and lung tissue antibiotic exposures of tuberculosis drugs. Nature Communications. 15(1). 6657–6657. 8 indexed citations
4.
Bjerrum, Stephanie, Rita Székely, Japheth A. Opintan, et al.. (2022). Diagnostic Accuracy of Urine Lipoarabinomannan Testing in Early Morning Urine versus Spot Urine for Diagnosis of Tuberculosis among People with HIV. Microbiology Spectrum. 10(2). e0020822–e0020822. 2 indexed citations
6.
Bjerrum, Stephanie, Ian Schiller, Nandini Dendukuri, et al.. (2019). Lateral flow urine lipoarabinomannan assay for detecting active tuberculosis in people living with HIV. Cochrane Database of Systematic Reviews. 2019(10). CD011420–CD011420. 114 indexed citations
7.
Berry, Stephen A., et al.. (2018). Xanthogranuloma of the epididymis. Urology Case Reports. 17. 50–52. 1 indexed citations
8.
Shah, Maunank, Colleen F. Hanrahan, Nandini Dendukuri, et al.. (2016). Lateral flow urine lipoarabinomannan assay for detecting active tuberculosis in HIV-positive adults. Cochrane Database of Systematic Reviews. CD011420–CD011420. 126 indexed citations
9.
Nakiyingi, Lydia, Willy Ssengooba, Damalie Nakanjako, et al.. (2015). Predictors and outcomes of mycobacteremia among HIV-infected smear- negative presumptive tuberculosis patients in Uganda. BMC Infectious Diseases. 15(1). 62–62. 29 indexed citations
10.
Manabe, Yukari C., Bareng A. S. Nonyane, Lydia Nakiyingi, et al.. (2014). Point-of-Care Lateral Flow Assays for Tuberculosis and Cryptococcal Antigenuria Predict Death in HIV Infected Adults in Uganda. PLoS ONE. 9(7). e101459–e101459. 38 indexed citations
11.
Shah, Maunank & Caitlin Reed. (2014). Complications of tuberculosis. Current Opinion in Infectious Diseases. 27(5). 403–410. 49 indexed citations
12.
Shah, Maunank, Willy Ssengooba, Derek T. Armstrong, et al.. (2014). Comparative performance of urinary lipoarabinomannan assays and Xpert MTB/RIF in HIV-infected individuals. AIDS. 28(9). 1307–1314. 44 indexed citations
13.
Nakiyingi, Lydia, Vineshree Mischka Moodley, Yukari C. Manabe, et al.. (2014). Diagnostic Accuracy of a Rapid Urine Lipoarabinomannan Test for Tuberculosis in HIV-Infected Adults. JAIDS Journal of Acquired Immune Deficiency Syndromes. 66(3). 270–279. 62 indexed citations
14.
Charalambous, Salome, Maunank Shah, Violet Chihota, et al.. (2014). Implementing a Large-Scale Systematic Tuberculosis Screening Program in Correctional Facilities in South Africa. Open Forum Infectious Diseases. 2(1). ofu121–ofu121. 15 indexed citations
15.
Hanrahan, Colleen F. & Maunank Shah. (2014). Economic challenges associated with tuberculosis diagnostic development. Expert Review of Pharmacoeconomics & Outcomes Research. 14(4). 499–510. 4 indexed citations
16.
Shah, Maunank, Violet Chihota, Gerrit Coetzee, Gavin Churchyard, & Susan E. Dorman. (2013). Comparison of laboratory costs of rapid molecular tests and conventional diagnostics for detection of tuberculosis and drug-resistant tuberculosis in South Africa. BMC Infectious Diseases. 13(1). 352–352. 49 indexed citations
17.
Dorman, Susan E., Violet Chihota, James Lewis, et al.. (2012). Performance Characteristics of the Cepheid Xpert MTB/RIF Test in a Tuberculosis Prevalence Survey. PLoS ONE. 7(8). e43307–e43307. 55 indexed citations
19.
Shah, Maunank, Neil Martinson, Richard E. Chaisson, et al.. (2010). Quantitative Analysis of a Urine-Based Assay for Detection of Lipoarabinomannan in Patients with Tuberculosis. Journal of Clinical Microbiology. 48(8). 2972–2974. 70 indexed citations
20.
Shah, Maunank, Ebrahim Variava, Charles B. Holmes, et al.. (2009). Diagnostic Accuracy of a Urine Lipoarabinomannan Test for Tuberculosis in Hospitalized Patients in a High HIV Prevalence Setting. JAIDS Journal of Acquired Immune Deficiency Syndromes. 52(2). 145–151. 110 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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