Umme Z. Mulla

731 total citations
8 papers, 472 citations indexed

About

Umme Z. Mulla is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Nutrition and Dietetics. According to data from OpenAlex, Umme Z. Mulla has authored 8 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 2 papers in General Health Professions and 2 papers in Nutrition and Dietetics. Recurrent topics in Umme Z. Mulla's work include Nutritional Studies and Diet (5 papers), Nutrition, Genetics, and Disease (2 papers) and Obesity, Physical Activity, Diet (2 papers). Umme Z. Mulla is often cited by papers focused on Nutritional Studies and Diet (5 papers), Nutrition, Genetics, and Disease (2 papers) and Obesity, Physical Activity, Diet (2 papers). Umme Z. Mulla collaborates with scholars based in United Kingdom, Saudi Arabia and Australia. Umme Z. Mulla's co-authors include Laura J. Hardie, Petra A. Wark, Janet Cade, Gary Frost, Darren C. Greenwood, Michelle C. Carter, Neil Hancock, Nisreen A Alwan, Michelle Morris and Phil Chowienczyk and has published in prestigious journals such as American Journal of Epidemiology, Nutrients and British Journal Of Nutrition.

In The Last Decade

Umme Z. Mulla

8 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Umme Z. Mulla United Kingdom	4	343	142	98	76	54	8	472
Anna N. Funtikova Spain	9	313 0.9×	136 1.0×	49 0.5×	30 0.4×	43 0.8×	11	448
Constanza M. López-Fontana Argentina	5	321 0.9×	204 1.4×	61 0.6×	24 0.3×	47 0.9×	12	533
Tenna Ruest Haarmark Nielsen Denmark	13	213 0.6×	124 0.9×	54 0.6×	45 0.6×	34 0.6×	22	429
Niki Gernhofer United States	7	325 0.9×	108 0.8×	73 0.7×	20 0.3×	44 0.8×	8	491
Janetta Harbron South Africa	11	121 0.4×	80 0.6×	95 1.0×	37 0.5×	26 0.5×	22	335
Ana Paula Carlos Cândido Brazil	12	192 0.6×	88 0.6×	49 0.5×	26 0.3×	23 0.4×	43	358
Małgorzata Anna Słowińska Poland	11	225 0.7×	97 0.7×	53 0.5×	53 0.7×	14 0.3×	29	369
Franziska Jannasch Germany	8	397 1.2×	273 1.9×	86 0.9×	46 0.6×	19 0.4×	17	565
Lis Kristoffersen Denmark	7	200 0.6×	105 0.7×	39 0.4×	22 0.3×	47 0.9×	7	389
D Watkins United Kingdom	5	174 0.5×	94 0.7×	53 0.5×	20 0.3×	38 0.7×	5	331

Countries citing papers authored by Umme Z. Mulla

Since Specialization

Citations

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

Fields of papers citing papers by Umme Z. Mulla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Umme Z. Mulla. 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 Umme Z. Mulla. The network helps show where Umme Z. Mulla may publish in the future.

Co-authorship network of co-authors of Umme Z. Mulla

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

All Works

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8 of 8 papers shown

Greenwood, Darren C., Laura J. Hardie, Gary Frost, et al.. (2019). Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers. American Journal of Epidemiology. 188(10). 1858–1867. 182 indexed citations

Wark, Petra A., Laura J. Hardie, Gary Frost, et al.. (2018). Validity of an online 24-h recall tool (myfood24) for dietary assessment in population studies: comparison with biomarkers and standard interviews. BMC Medicine. 16(1). 136–136. 81 indexed citations

Potter, Gregory D., Heather Ford, Umme Z. Mulla, et al.. (2018). Sleep timing and vegetable intakes in UK adults: a cross-sectional study. Proceedings of The Nutrition Society. 77(OCE4). 2 indexed citations

Carter, Michelle C., Salwa Albar, Michelle Morris, et al.. (2015). Development of a UK Online 24-h Dietary Assessment Tool: myfood24. Nutrients. 7(6). 4016–4032. 125 indexed citations

Albar, Salwa, Michelle Morris, Umme Z. Mulla, et al.. (2015). Development and usability of myfood24: an online 24-hour dietary assessment tool. Proceedings of The Nutrition Society. 74(OCE4). 2 indexed citations

Berry, Sarah, Umme Z. Mulla, Phil Chowienczyk, & T. A. B. Sanders. (2010). Increased potassium intake from fruit and vegetables or supplements does not lower blood pressure or improve vascular function in UK men and women with early hypertension: a randomised controlled trial. British Journal Of Nutrition. 104(12). 1839–1847. 78 indexed citations

Mulla, Umme Z., GD Mishra, Marcus Richards, & A. M. Stephen. (2009). MAJOR FRUITS AS A COMMON MARKER IN CROSS-COHORT ANALYSIS USING DIETARY DATA ACQUIRED THROUGH DIFFERENT INSTRUMENTS. View. 1 indexed citations

Berry, Sarah, et al.. (2005). Urinary potassium excretion and plasma ascorbic acid concentration as biomarkers of increased intake of fruit and vegetable intake. Research Portal (King's College London). 64. 1 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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