Adam Zumla

543 total citations
7 papers, 112 citations indexed

About

Adam Zumla is a scholar working on Infectious Diseases, Health Informatics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Adam Zumla has authored 7 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Health Informatics and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Adam Zumla's work include Tuberculosis Research and Epidemiology (3 papers), Artificial Intelligence in Healthcare and Education (2 papers) and COVID-19 diagnosis using AI (2 papers). Adam Zumla is often cited by papers focused on Tuberculosis Research and Epidemiology (3 papers), Artificial Intelligence in Healthcare and Education (2 papers) and COVID-19 diagnosis using AI (2 papers). Adam Zumla collaborates with scholars based in United Kingdom, Italy and Canada. Adam Zumla's co-authors include Alimuddin Zumla, Simon Tiberi, Giovanni Battista Migliori, M. Vjecha, Jean B. Nachega, Paulin Mutwale Kapepula, Françoise Van Bambeke, Léon Tshilolo, Jean‐Jacques Muyembé‐Tamfum and Paul M. Tulkens and has published in prestigious journals such as The Lancet Infectious Diseases, American Journal of Tropical Medicine and Hygiene and Postgraduate Medical Journal.

In The Last Decade

Adam Zumla

5 papers receiving 109 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam Zumla United Kingdom	3	66	19	18	16	14	7	112
Pierre‐Olivier Sellier France	7	42 0.6×	19 1.0×	20 1.1×	20 1.3×	6 0.4×	12	168
Xinping Yang China	6	67 1.0×	56 2.9×	20 1.1×	17 1.1×	5 0.4×	20	153
Adekunle Babajide Rowaiye Nigeria	8	75 1.1×	20 1.1×	90 5.0×	23 1.4×	14 1.0×	36	242
Hawra Albayat Saudi Arabia	8	58 0.9×	30 1.6×	36 2.0×	12 0.8×	4 0.3×	15	167
Abdullah M. AlShahrani Saudi Arabia	8	47 0.7×	6 0.3×	48 2.7×	19 1.2×	12 0.9×	19	185
Yuguang Wang China	10	82 1.2×	65 3.4×	63 3.5×	28 1.8×	10 0.7×	34	293
Maheswata Sahoo India	5	27 0.4×	31 1.6×	40 2.2×	20 1.3×	2 0.1×	11	144
Mehdi Hassaniazad Iran	6	50 0.8×	22 1.2×	20 1.1×	9 0.6×	12 0.9×	24	160
Concepción Gimeno-Cardona Spain	7	34 0.5×	29 1.5×	51 2.8×	8 0.5×	7 0.5×	10	185

Countries citing papers authored by Adam Zumla

Since Specialization

Citations

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

Fields of papers citing papers by Adam Zumla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Zumla

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

All Works

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7 of 7 papers shown

1.

Imam, Mohamed A., Ahmed Elgebaly, Adam Zumla, et al.. (2025). Transforming the NHS through AI-driven solutions: a new era of digital health. Postgraduate Medical Journal. 101(1199). 777–778.

2.

Imam, Mohamed A., et al.. (2024). Intersection of artificial intelligence, microbes, and bone and joint infections: a new frontier for improving management outcomes. The Lancet Microbe. 6(3). 101008–101008.

3.

Zumla, Adam, et al.. (2024). The role of artificial intelligence in the diagnosis, imaging, and treatment of thoracic empyema. Current Opinion in Pulmonary Medicine. 31(3). 237–242. 1 indexed citations

4.

Sahu, Suvanand, Lucica Diţiu, Rizwan Ahmed, et al.. (2024). Overcoming the global tuberculosis crisis with urgent country-level political and financial action. The Lancet Infectious Diseases. 25(1). 14–16. 1 indexed citations

5.

Tiberi, Simon, et al.. (2021). Accelerating development of new shorter TB treatment regimens in anticipation of a resurgence of multi-drug resistant TB due to the COVID-19 pandemic. International Journal of Infectious Diseases. 113. S96–S99. 38 indexed citations

6.

Zumla, Alimuddin, Ben J. Marais, Timothy D. McHugh, et al.. (2020). COVID-19 and tuberculosis—threats and opportunities. The International Journal of Tuberculosis and Lung Disease. 24(8). 757–760. 37 indexed citations

7.

Kapepula, Paulin Mutwale, Françoise Van Bambeke, Paul M. Tulkens, et al.. (2020). Artemisia Spp. Derivatives for COVID-19 Treatment: Anecdotal Use, Political Hype, Treatment Potential, Challenges, and Road Map to Randomized Clinical Trials. American Journal of Tropical Medicine and Hygiene. 103(3). 960–964. 35 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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