Zaida Palmer

450 total citations
9 papers, 236 citations indexed

About

Zaida Palmer is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Zaida Palmer has authored 9 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 6 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Zaida Palmer's work include Tuberculosis Research and Epidemiology (7 papers), Diagnosis and treatment of tuberculosis (4 papers) and Mycobacterium research and diagnosis (3 papers). Zaida Palmer is often cited by papers focused on Tuberculosis Research and Epidemiology (7 papers), Diagnosis and treatment of tuberculosis (4 papers) and Mycobacterium research and diagnosis (3 papers). Zaida Palmer collaborates with scholars based in South Africa, United Kingdom and United States. Zaida Palmer's co-authors include Byron W P Reeve, Grant Theron, Mahdad Noursadeghi, Carolin T. Turner, Rishi K Gupta, Robert F. Miller, Paul D. van Helden, Evdokia Tsaliki, Jennifer Roe and C Naidoo and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Clinical Microbiology and Infection.

In The Last Decade

Zaida Palmer

8 papers receiving 236 citations

Peers

Zaida Palmer

ID

EPIDE

SURGE

MB

CR

Youchao Dai China

Zenghui Pu China

Aditya Rao United States

Yixin Zhu China

Philippa Randall South Africa

Leigh A. Kotzé South Africa

Günter Hufnagel Germany

Ida Maria Foschiani Dias Baptista Brazil

Hui Tzu Lin‐Wang Brazil

M. Tanverdi Türkiye

Youchao Dai China

Zaida Palmer

123 ×0.7

ID

50 ×0.4

EPIDE

33 ×0.4

SURGE

42 ×0.6

MB

6 ×0.3

CR

Citations per year, relative to Zaida Palmer Zaida Palmer (= 1×) peers Youchao Dai

Countries citing papers authored by Zaida Palmer

Since Specialization

Citations

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

Fields of papers citing papers by Zaida Palmer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaida Palmer

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

All Works

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9 of 9 papers shown

1.

Abdulgader, Shima M., Arthur Chiwaya, Byron W P Reeve, et al.. (2025). Diagnostic accuracy of Truenat MTB Ultima on sputum for pulmonary tuberculosis diagnosis in an HIV-endemic setting. Clinical Microbiology and Infection. 31(7). 1203–1209. 1 indexed citations

2.

Abdulgader, Shima M., Zaida Palmer, C Naidoo, et al.. (2025). Oral Washes and Tongue Swabs for Xpert MTB/RIF Ultra–Based Tuberculosis Diagnosis in People With and Without the Ability to Make Sputum. Clinical Infectious Diseases. 81(6). e632–e642.

3.

Gupta, Rishi K, Byron W P Reeve, Aneesh Chandran, et al.. (2024). Blood RNA biomarkers for tuberculosis screening in people living with HIV before antiretroviral therapy initiation: a diagnostic accuracy study. The Lancet Global Health. 12(5). e783–e792. 5 indexed citations

4.

Reeve, Byron W P, Hridesh Mishra, Zaida Palmer, et al.. (2024). Point-of-care C-reactive protein and Xpert MTB/RIF Ultra for tuberculosis screening and diagnosis in unselected antiretroviral therapy initiators: a prospective, cross-sectional, diagnostic accuracy study. The Lancet Global Health. 12(5). e793–e803. 6 indexed citations

5.

Calderwood, Claire, Byron W P Reeve, Zaida Palmer, et al.. (2022). Clinical utility of C-reactive protein-based triage for presumptive pulmonary tuberculosis in South African adults. Journal of Infection. 86(1). 24–32. 15 indexed citations

6.

Naidoo, C, Imran Sulaiman, Benjamin G. Wu, et al.. (2021). Anaerobe-enriched gut microbiota predicts pro-inflammatory responses in pulmonary tuberculosis. EBioMedicine. 67. 103374–103374. 35 indexed citations

7.

Mishra, Hridesh, Byron W P Reeve, Zaida Palmer, et al.. (2020). Xpert MTB/RIF Ultra and Xpert MTB/RIF for diagnosis of tuberculosis in an HIV-endemic setting with a high burden of previous tuberculosis: a two-cohort diagnostic accuracy study. The Lancet Respiratory Medicine. 8(4). 368–382. 61 indexed citations

8.

Turner, Carolin T., Rishi K Gupta, Evdokia Tsaliki, et al.. (2020). Blood transcriptional biomarkers for active pulmonary tuberculosis in a high-burden setting: a prospective, observational, diagnostic accuracy study. The Lancet Respiratory Medicine. 8(4). 407–419. 75 indexed citations

9.

Murugesan, Kanagavel, Catherine A. Hogan, Zaida Palmer, et al.. (2019). Investigation of Preanalytical Variables Impacting Pathogen Cell-Free DNA in Blood and Urine. Journal of Clinical Microbiology. 57(11). 38 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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