Mateusz Rawski

3.0k total citations · 1 hit paper
68 papers, 2.3k citations indexed

About

Mateusz Rawski is a scholar working on Insect Science, Animal Science and Zoology and Social Psychology. According to data from OpenAlex, Mateusz Rawski has authored 68 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Insect Science, 25 papers in Animal Science and Zoology and 22 papers in Social Psychology. Recurrent topics in Mateusz Rawski's work include Insect Utilization and Effects (39 papers), Animal Nutrition and Physiology (23 papers) and Animal and Plant Science Education (22 papers). Mateusz Rawski is often cited by papers focused on Insect Utilization and Effects (39 papers), Animal Nutrition and Physiology (23 papers) and Animal and Plant Science Education (22 papers). Mateusz Rawski collaborates with scholars based in Poland, Denmark and Norway. Mateusz Rawski's co-authors include Bartosz Kierończyk, D. Józefiak, Jan Mazurkiewicz, Agata Józefiak, Sylwester Świątkiewicz, Silvia Nogales‐Mérida, Abdelbasset Benzertiha, Zuzanna Mikołajczak, Jakub Długosz and Paweł Kołodziejski and has published in prestigious journals such as PLoS ONE, Scientific Reports and Aquaculture.

In The Last Decade

Mateusz Rawski

64 papers receiving 2.2k citations

Hit Papers

Insect meals in fish nutrition 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mateusz Rawski Poland 27 1.6k 937 551 439 288 68 2.3k
Bartosz Kierończyk Poland 25 1.5k 0.9× 846 0.9× 424 0.8× 416 0.9× 277 1.0× 62 2.0k
Manuela Renna Italy 24 2.4k 1.4× 1.4k 1.5× 580 1.1× 425 1.0× 526 1.8× 87 3.0k
Ilaria Biasato Italy 29 3.0k 1.8× 1.8k 1.9× 532 1.0× 545 1.2× 592 2.1× 98 3.6k
Michele De Marco Italy 19 1.9k 1.1× 1.1k 1.2× 351 0.6× 466 1.1× 356 1.2× 41 2.4k
P. Ankers Italy 11 1.2k 0.7× 730 0.8× 470 0.9× 241 0.5× 287 1.0× 21 2.0k
Rosa Loponte Italy 12 1.2k 0.7× 676 0.7× 198 0.4× 196 0.4× 254 0.9× 12 1.3k
Stefania Bergagna Italy 19 1.0k 0.6× 637 0.7× 84 0.2× 317 0.7× 267 0.9× 49 1.5k
Rudy Caparros Megido Belgium 24 2.1k 1.3× 1.2k 1.2× 84 0.2× 68 0.2× 426 1.5× 63 2.4k
Gisella Paci Italy 22 798 0.5× 489 0.5× 62 0.1× 641 1.5× 244 0.8× 117 1.7k
Daniela Dezzutto Italy 13 933 0.6× 592 0.6× 72 0.1× 220 0.5× 232 0.8× 17 1.1k

Countries citing papers authored by Mateusz Rawski

Since Specialization
Citations

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

Fields of papers citing papers by Mateusz Rawski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateusz Rawski

This figure shows the co-authorship network connecting the top 25 collaborators of Mateusz Rawski. A scholar is included among the top collaborators of Mateusz Rawski 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 Mateusz Rawski. Mateusz Rawski 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.
Rawski, Mateusz, et al.. (2024). Evaluation of the application and environmental sustainabilityof alternative feed materials in sturgeon nutrition. A review. Journal of Animal and Feed Sciences. 34(1). 3–19.
3.
Kierończyk, Bartosz, S. Kaczmarek, Marcin Hejdysz, et al.. (2024). Implementation of a metabolizable energy regression modelfor black soldier fly larvae fat in broiler chicken diets:effect on growth performance, nutrient digestibility,and selected physiological indices. Journal of Animal and Feed Sciences. 33(4). 493–503. 2 indexed citations
5.
Kierończyk, Bartosz, et al.. (2023). Black Soldier Fly Larva Fat in Broiler Chicken Diets Affects Breast Meat Quality. Animals. 13(7). 1137–1137. 16 indexed citations
7.
Hoffmann, L., Mateusz Rawski, Silvia Nogales‐Mérida, et al.. (2021). Mealworm meal use in sea trout ( Salmo trutta m. trutta , L.) fingerling diets: effects on growth performance, histomorphology of the gastrointestinal tract and blood parameters. Aquaculture Nutrition. 27(5). 1512–1528. 18 indexed citations
8.
Rawski, Mateusz, Jan Mazurkiewicz, Bartosz Kierończyk, & D. Józefiak. (2021). Black Soldier Fly Full-Fat Larvae Meal Is More Profitable Than Fish Meal and Fish Oil in Siberian Sturgeon Farming: The Effects on Aquaculture Sustainability, Economy and Fish GIT Development. Animals. 11(3). 604–604. 47 indexed citations
10.
Kierończyk, Bartosz, Abdelbasset Benzertiha, Zuzanna Mikołajczak, et al.. (2020). Replacement of soybean oil byHermetia illucensfat in turkey nutrition: effect on performance, digestibility, microbial community, immune and physiological status and final product quality. British Poultry Science. 61(3). 294–302. 62 indexed citations
11.
Mikołajczak, Zuzanna, Mateusz Rawski, Jan Mazurkiewicz, Bartosz Kierończyk, & D. Józefiak. (2020). The Effect of Hydrolyzed Insect Meals in Sea Trout Fingerling (Salmo trutta m. trutta) Diets on Growth Performance, Microbiota and Biochemical Blood Parameters. Animals. 10(6). 1031–1031. 64 indexed citations
13.
Józefiak, Agata, et al.. (2020). Improvement of Cecal Commensal Microbiome Following the Insect Additive into Chicken Diet. Animals. 10(4). 577–577. 38 indexed citations
14.
Kierończyk, Bartosz, Mateusz Rawski, Zuzanna Mikołajczak, Sylwester Świątkiewicz, & D. Józefiak. (2020). Nisin as a Novel Feed Additive: The Effects on Gut Microbial Modulation and Activity, Histological Parameters, and Growth Performance of Broiler Chickens. Animals. 10(1). 101–101. 35 indexed citations
15.
Benzertiha, Abdelbasset, et al.. (2019). Insect Oil as An Alternative to Palm Oil and Poultry Fat in Broiler Chicken Nutrition. Animals. 9(3). 116–116. 72 indexed citations
16.
Benzertiha, Abdelbasset, Bartosz Kierończyk, Mateusz Rawski, et al.. (2019). Tenebrio molitor and Zophobas morio Full-Fat Meals in Broiler Chicken Diets: Effects on Nutrients Digestibility, Digestive Enzyme Activities, and Cecal Microbiome. Animals. 9(12). 1128–1128. 52 indexed citations
17.
Józefiak, Agata, Silvia Nogales‐Mérida, Mateusz Rawski, Bartosz Kierończyk, & Jan Mazurkiewicz. (2019). Effects of insect diets on the gastrointestinal tract health and growth performance of Siberian sturgeon (Acipenser baerii Brandt, 1869). BMC Veterinary Research. 15(1). 348–348. 69 indexed citations
18.
Benzertiha, Abdelbasset, Bartosz Kierończyk, Mateusz Rawski, et al.. (2018). Cultural and practical aspects of halal slaughtering in food production. Medycyna Weterynaryjna. 74(1). 6023–2018. 14 indexed citations
19.
Kierończyk, Bartosz, Mateusz Rawski, Jakub Długosz, Sylwester Świątkiewicz, & D. Józefiak. (2016). Avian Crop Function – A Review. Annals of Animal Science. 16(3). 653–678. 57 indexed citations
20.
Rawski, Mateusz, Bartosz Kierończyk, Jakub Długosz, Sylwester Świątkiewicz, & D. Józefiak. (2016). Dietary Probiotics Affect Gastrointestinal Microbiota, Histological Structure and Shell Mineralization in Turtles. PLoS ONE. 11(2). e0147859–e0147859. 33 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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