Ali A. Moazzami

2.2k total citations
52 papers, 1.4k citations indexed

About

Ali A. Moazzami is a scholar working on Molecular Biology, Physiology and Plant Science. According to data from OpenAlex, Ali A. Moazzami has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Physiology and 13 papers in Plant Science. Recurrent topics in Ali A. Moazzami's work include Metabolomics and Mass Spectrometry Studies (17 papers), Diet and metabolism studies (12 papers) and Aquaculture Nutrition and Growth (11 papers). Ali A. Moazzami is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (17 papers), Diet and metabolism studies (12 papers) and Aquaculture Nutrition and Growth (11 papers). Ali A. Moazzami collaborates with scholars based in Sweden, United Kingdom and Czechia. Ali A. Moazzami's co-authors include Afaf Kamal‐Eldin, Rolf E. Andersson, Jana Picková, Elisabeth Müllner, Sofia Trattner, Kaisa Poutanen, Hannu Mykkänen, Liane Wagner, Pedro Gómez‐Requeni and Eva Brännäs and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ali A. Moazzami

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali A. Moazzami Sweden 23 584 381 228 209 168 52 1.4k
Fatih Akdemir Türkiye 22 266 0.5× 172 0.5× 190 0.8× 111 0.5× 117 0.7× 47 1.3k
Karoline S. Aragão Brazil 24 514 0.9× 280 0.7× 175 0.8× 129 0.6× 66 0.4× 38 1.4k
Mohamed M.M. Metwally Egypt 21 289 0.5× 284 0.7× 107 0.5× 73 0.3× 189 1.1× 109 1.3k
M. Iqbal India 24 672 1.2× 147 0.4× 122 0.5× 318 1.5× 99 0.6× 43 1.8k
Fábio Ermínio Mingatto Brazil 23 571 1.0× 330 0.9× 57 0.3× 125 0.6× 166 1.0× 52 1.7k
Nalae Kang South Korea 23 720 1.2× 191 0.5× 924 4.1× 218 1.0× 206 1.2× 66 1.7k
Mehmet Çiftçi Türkiye 26 663 1.1× 340 0.9× 65 0.3× 111 0.5× 147 0.9× 118 1.9k
Xuzhi Wan China 19 610 1.0× 176 0.5× 258 1.1× 250 1.2× 232 1.4× 59 1.4k
Sawsan Ibrahim Kreydiyyeh Lebanon 17 388 0.7× 370 1.0× 103 0.5× 67 0.3× 98 0.6× 66 1.2k
Ghazi Hussein Japan 13 463 0.8× 191 0.5× 115 0.5× 135 0.6× 238 1.4× 13 1.4k

Countries citing papers authored by Ali A. Moazzami

Since Specialization
Citations

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

Fields of papers citing papers by Ali A. Moazzami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali A. Moazzami. 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 Ali A. Moazzami. The network helps show where Ali A. Moazzami may publish in the future.

Co-authorship network of co-authors of Ali A. Moazzami

This figure shows the co-authorship network connecting the top 25 collaborators of Ali A. Moazzami. A scholar is included among the top collaborators of Ali A. Moazzami 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 Ali A. Moazzami. Ali A. Moazzami 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
1.
2.
Liu, Chen, Thorsten Pfirrmann, Elena A. Minina, et al.. (2024). Seed longevity is controlled by metacaspases. Nature Communications. 15(1). 6748–6748. 6 indexed citations
3.
Müller, Bettina, Annica J. Rasmusson, David Just, et al.. (2021). Fecal Short-Chain Fatty Acid Ratios as Related to Gastrointestinal and Depressive Symptoms in Young Adults. Psychosomatic Medicine. 83(7). 693–699. 55 indexed citations
4.
Cunningham, Janet L., Abhijeet Singh, Shishanthi Jayarathna, et al.. (2020). Impact of time and temperature on gut microbiota and SCFA composition in stool samples. PLoS ONE. 15(8). e0236944–e0236944. 15 indexed citations
5.
Söder, Josefin, Sara Wernersson, Johan Dicksved, et al.. (2019). Indication of metabolic inflexibility to food intake in spontaneously overweight Labrador Retriever dogs. BMC Veterinary Research. 15(1). 96–96. 11 indexed citations
6.
Söder, Josefin, Katja Höglund, Johan Dicksved, et al.. (2019). Plasma metabolomics reveals lower carnitine concentrations in overweight Labrador Retriever dogs. Acta veterinaria Scandinavica. 61(1). 10–10. 14 indexed citations
7.
8.
Hefni, Mohammed E., Cornelia M. Witthöft, & Ali A. Moazzami. (2018). Plasma metabolite profiles in healthy women differ after intervention with supplemental folic acid v. folate-rich foods. Journal of Nutritional Science. 7. e32–e32. 5 indexed citations
9.
Söder, Josefin, Ragnvi Hagman, Johan Dicksved, et al.. (2017). The urine metabolome differs between lean and overweight Labrador Retriever dogs during a feed-challenge. PLoS ONE. 12(6). e0180086–e0180086. 14 indexed citations
10.
Moazzami, Ali A., et al.. (2015). Metabolomics study of cereal grains reveals the discriminative metabolic markers associated with anatomical compartments. SHILAP Revista de lepidopterología. 27(2). 142–150. 8 indexed citations
11.
Wagner, Liane, Ali A. Moazzami, Pedro Gómez‐Requeni, et al.. (2015). Decontaminated fishmeal and fish oil from the Baltic Sea are promising feed sources for Arctic char (Salvelinus alpinus L.)—studies of flesh lipid quality and metabolic profile. European Journal of Lipid Science and Technology. 118(6). 862–873. 26 indexed citations
12.
Müllner, Elisabeth, et al.. (2015). Metabolic changes in serum metabolome in response to a meal. European Journal of Nutrition. 56(2). 671–681. 44 indexed citations
13.
14.
Isaksson, Hanna, Rikard Landberg, Birgitta Sundberg, et al.. (2013). High-fiber rye diet increases ileal excretion of energy and macronutrients compared with low-fiber wheat diet independent of meal frequency in ileostomy subjects. Food & Nutrition Research. 57(1). 18519–18519. 12 indexed citations
15.
Moazzami, Ali A., et al.. (2011). Varying quality of fish oil capsules: fatty acids and tocopherol.. PubMed. 32 Suppl 2. 37–40. 7 indexed citations
16.
Moazzami, Ali A., Jie‐Xian Zhang, Afaf Kamal‐Eldin, et al.. (2011). Nuclear Magnetic Resonance–Based Metabolomics Enable Detection of the Effects of a Whole Grain Rye and Rye Bran Diet on the Metabolic Profile of Plasma in Prostate Cancer Patients. Journal of Nutrition. 141(12). 2126–2132. 43 indexed citations
17.
Kamal‐Eldin, Afaf, et al.. (2011). Sesame Seed Lignans: Potent Physiological Modulators and Possible Ingredients in Functional Foods & Nutraceuticals. Recent Patents on Food Nutrition & Agriculture. 3(1). 17–29. 65 indexed citations
18.
Kamal‐Eldin, Afaf & Ali A. Moazzami. (2009). Plant Sterols and Stanols as Cholesterol-Lowering Ingredients in Functional Foods. Recent Patents on Food Nutrition & Agriculture. 1(1). 1–14. 46 indexed citations
19.
Moazzami, Ali A., Jan Frank, Torbjörn Lundh, Bengt Vessby, & Afaf Kamal‐Eldin. (2007). DIETARY PHYTOSTEROLS INHIBIT THE LIPID MODULATING EFFECTS OF SESAMIN IN RATS. Current Topics in Nutraceutical Research. 5. 93–97. 2 indexed citations
20.
Moazzami, Ali A., Rolf E. Andersson, & Afaf Kamal‐Eldin. (2007). Quantitative NMR Analysis of a Sesamin Catechol Metabolite in Human Urine. Journal of Nutrition. 137(4). 940–944. 41 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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