Hamdi Jama

1.3k total citations · 1 hit paper
24 papers, 522 citations indexed

About

Hamdi Jama is a scholar working on Physiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hamdi Jama has authored 24 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 13 papers in Molecular Biology and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hamdi Jama's work include Diet and metabolism studies (13 papers), Nutritional Studies and Diet (12 papers) and Gut microbiota and health (12 papers). Hamdi Jama is often cited by papers focused on Diet and metabolism studies (13 papers), Nutritional Studies and Diet (12 papers) and Gut microbiota and health (12 papers). Hamdi Jama collaborates with scholars based in Australia, China and United States. Hamdi Jama's co-authors include Francine Z. Marques, Rikeish R. Muralitharan, David M. Kaye, Matthew Snelson, Waled Shihata, A. Beale, Liang Xie, Jane G. Muir, Charles R. Mackay and Geoffrey A. Head and has published in prestigious journals such as The Journal of Immunology, Circulation Research and Scientific Reports.

In The Last Decade

Hamdi Jama

21 papers receiving 516 citations

Hit Papers

Prebiotic intervention with HAMSAB in untreated essential... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamdi Jama Australia 12 329 262 140 80 57 24 522
April Fiedler Australia 4 580 1.8× 455 1.7× 172 1.2× 94 1.2× 80 1.4× 8 832
Albert Goday Spain 6 347 1.1× 296 1.1× 107 0.8× 51 0.6× 26 0.5× 12 584
Raisa Aringazina Kazakhstan 5 258 0.8× 225 0.9× 92 0.7× 59 0.7× 16 0.3× 20 527
Maud Alligier France 12 297 0.9× 406 1.5× 102 0.7× 101 1.3× 54 0.9× 21 729
Hendrik Bartolomaeus Germany 9 189 0.6× 125 0.5× 60 0.4× 66 0.8× 42 0.7× 17 355
Д. А. Каштанова Russia 12 334 1.0× 240 0.9× 59 0.4× 43 0.5× 32 0.6× 47 528
Yanchun Ding China 4 325 1.0× 230 0.9× 96 0.7× 29 0.4× 25 0.4× 12 455
María Luisa Matey-Hernandez United Kingdom 7 298 0.9× 163 0.6× 62 0.4× 28 0.3× 35 0.6× 7 448
Carla Juliana Ribeiro Dolenga Brazil 11 290 0.9× 253 1.0× 54 0.4× 92 1.1× 15 0.3× 15 642
Jennifer Kirsop United States 7 340 1.0× 247 0.9× 94 0.7× 23 0.3× 47 0.8× 9 504

Countries citing papers authored by Hamdi Jama

Since Specialization
Citations

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

Fields of papers citing papers by Hamdi Jama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamdi Jama

This figure shows the co-authorship network connecting the top 25 collaborators of Hamdi Jama. A scholar is included among the top collaborators of Hamdi Jama 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 Hamdi Jama. Hamdi Jama 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.
Jama, Hamdi, et al.. (2025). The effect of resistant starch type 1, delivered as intact chickpea cells, on intestinal health and blood pressure. Food Hydrocolloids. 172. 111878–111878. 1 indexed citations
3.
Muralitharan, Rikeish R., Tenghao Zheng, Liang Xie, et al.. (2025). Gut Microbiota Metabolites Sensed by Host GPR41/43 Protect Against Hypertension. Circulation Research. 136(4). e20–e33. 13 indexed citations
4.
Muralitharan, Rikeish R., Hamdi Jama, Liang Xie, et al.. (2025). pH-sensor GPR68 plays a role in how dietary fibre lowers blood pressure in a preclinical model of hypertension. Clinical Science. 139(21).
5.
Reisinger, Sonali N., W. J. Davies, Rikeish R. Muralitharan, et al.. (2024). Depletion of the paternal gut microbiome alters sperm small RNAs and impacts offspring physiology and behavior in mice. Brain Behavior and Immunity. 123. 290–305. 9 indexed citations
6.
Snelson, Matthew, et al.. (2024). Reduction in systolic blood pressure following dietary fibre intervention is dependent on baseline gut microbiota composition. Proceedings of The Nutrition Society. 83(OCE1). 1 indexed citations
7.
Jama, Hamdi, Matthew Snelson, Aletta E. Schutte, Jane G. Muir, & Francine Z. Marques. (2024). Recommendations for the Use of Dietary Fiber to Improve Blood Pressure Control. Hypertension. 81(7). 1450–1459. 16 indexed citations
8.
Muralitharan, Rikeish R., Michael Nakai, Matthew Snelson, et al.. (2024). Influence of angiotensin II on the gut microbiome: modest effects in comparison to experimental factors. Cardiovascular Research. 120(10). 1155–1163. 13 indexed citations
9.
Snelson, Matthew, Hamdi Jama, Michael Nakai, et al.. (2024). O88 REDUCTION IN SYSTOLIC BLOOD PRESSURE FOLLOWING DIETARY FIBRE INTERVENTION IS DEPENDENT ON BASELINE GUT MICROBIOTA COMPOSITION. Journal of Hypertension. 42(Suppl 3). e41–e41. 1 indexed citations
10.
McGuinness, Amelia J., Lisa F. Stinson, Matthew Snelson, et al.. (2023). From hype to hope: Considerations in conducting robust microbiome science. Brain Behavior and Immunity. 115. 120–130. 14 indexed citations
11.
Jama, Hamdi, Michael Nakai, Chu K Yao, et al.. (2023). Prebiotic intervention with HAMSAB in untreated essential hypertensive patients assessed in a phase II randomized trial. Nature Cardiovascular Research. 2(1). 35–43. 69 indexed citations breakdown →
12.
Jama, Hamdi, Rikeish R. Muralitharan, Joanne A. O’Donnell, et al.. (2021). Rodent models of hypertension. British Journal of Pharmacology. 179(5). 918–937. 42 indexed citations
14.
15.
Jama, Hamdi, April Fiedler, Kirill Tsyganov, et al.. (2020). Manipulation of the gut microbiota by the use of prebiotic fibre does not override a genetic predisposition to heart failure. Scientific Reports. 10(1). 17919–17919. 11 indexed citations
16.
Muralitharan, Rikeish R., et al.. (2020). Microbial Peer Pressure. Hypertension. 76(6). 1674–1687. 97 indexed citations
17.
Jama, Hamdi, A. Beale, Waled Shihata, & Francine Z. Marques. (2019). The effect of diet on hypertensive pathology: is there a link via gut microbiota-driven immunometabolism?. Cardiovascular Research. 115(9). 1435–1447. 72 indexed citations
18.
Stock, Angus T., Nicholas Collins, Gordon K. Smyth, et al.. (2019). The Selective Expansion and Targeted Accumulation of Bone Marrow–Derived Macrophages Drive Cardiac Vasculitis. The Journal of Immunology. 202(11). 3282–3296. 8 indexed citations
19.
Stock, Angus T., et al.. (2019). TNF and IL-1 Play Essential but Temporally Distinct Roles in Driving Cardiac Inflammation in a Murine Model of Kawasaki Disease. The Journal of Immunology. 202(11). 3151–3160. 33 indexed citations
20.
Jama, Hamdi, David M. Kaye, & Francine Z. Marques. (2018). The gut microbiota and blood pressure in experimental models. Current Opinion in Nephrology & Hypertension. 28(2). 97–104. 50 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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