Mats Leeman

2.0k total citations
27 papers, 1.4k citations indexed

About

Mats Leeman is a scholar working on Computational Mechanics, Plant Science and Physical and Theoretical Chemistry. According to data from OpenAlex, Mats Leeman has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 7 papers in Plant Science and 5 papers in Physical and Theoretical Chemistry. Recurrent topics in Mats Leeman's work include Field-Flow Fractionation Techniques (12 papers), Plant-Microbe Interactions and Immunity (6 papers) and thermodynamics and calorimetric analyses (5 papers). Mats Leeman is often cited by papers focused on Field-Flow Fractionation Techniques (12 papers), Plant-Microbe Interactions and Immunity (6 papers) and thermodynamics and calorimetric analyses (5 papers). Mats Leeman collaborates with scholars based in Sweden, Netherlands and Denmark. Mats Leeman's co-authors include Lars Nilsson, Karl‐Gustav Wahlund, Inger Björck, Elin Östman, Sebastian Hansson, Jaeyeong Choi, B. Schippers, Peter A. H. M. Bakker, J.A. van Pelt and Björn Bergenståhl and has published in prestigious journals such as Macromolecules, Langmuir and Carbohydrate Polymers.

In The Last Decade

Mats Leeman

27 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
Mats Leeman Sweden 18 770 247 209 177 170 27 1.4k
Andrew R. Kirby United Kingdom 27 1.1k 1.4× 310 1.3× 75 0.4× 998 5.6× 26 0.2× 52 2.3k
Jianwu Zhou China 20 148 0.2× 324 1.3× 23 0.1× 253 1.4× 51 0.3× 61 1.0k
Christian Sanchez France 20 472 0.6× 269 1.1× 38 0.2× 1.8k 10.4× 22 0.1× 42 2.3k
Ulrike Böcker Norway 25 186 0.2× 460 1.9× 120 0.6× 389 2.2× 10 0.1× 47 1.5k
Takashi Hirasawa Japan 30 180 0.2× 2.1k 8.7× 91 0.4× 422 2.4× 170 1.0× 84 2.7k
Jean‐Marie Perrier‐Cornet France 26 214 0.3× 707 2.9× 56 0.3× 490 2.8× 8 0.0× 63 1.7k
Sébastien Marze France 21 69 0.1× 172 0.7× 31 0.1× 696 3.9× 54 0.3× 41 1.3k
Lichao He China 21 63 0.1× 375 1.5× 65 0.3× 344 1.9× 15 0.1× 47 1.2k
A.‐M. Hermansson Sweden 22 168 0.2× 179 0.7× 51 0.2× 1.2k 6.8× 16 0.1× 32 1.7k
Christer Viebke United Kingdom 16 404 0.5× 116 0.5× 8 0.0× 702 4.0× 41 0.2× 23 1.2k

Countries citing papers authored by Mats Leeman

Since Specialization
Citations

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

Fields of papers citing papers by Mats Leeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mats Leeman

This figure shows the co-authorship network connecting the top 25 collaborators of Mats Leeman. A scholar is included among the top collaborators of Mats Leeman 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 Mats Leeman. Mats Leeman 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
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2.
Leeman, Mats, Lars Nilsson, Tommy Nylander, et al.. (2023). Investigating thermally induced aggregation of Somatropin- new insights using orthogonal techniques. International Journal of Pharmaceutics. 637. 122829–122829. 2 indexed citations
3.
Leeman, Mats, et al.. (2022). Investigation of native and aggregated therapeutic proteins in human plasma with asymmetrical flow field-flow fractionation and mass spectrometry. Analytical and Bioanalytical Chemistry. 414(29-30). 8191–8200. 8 indexed citations
4.
Leeman, Mats, et al.. (2021). Revisiting the dynamics of proteins during milk powder hydration using asymmetric flow field-flow fractionation (AF4). Current Research in Food Science. 4. 83–92. 7 indexed citations
5.
6.
Leeman, Mats, et al.. (2020). Asymmetric flow field-flow fractionation coupled to surface plasmon resonance detection for analysis of therapeutic proteins in blood serum. Analytical and Bioanalytical Chemistry. 413(1). 117–127. 17 indexed citations
7.
Leeman, Mats, et al.. (2018). Proteins and antibodies in serum, plasma, and whole blood—size characterization using asymmetrical flow field-flow fractionation (AF4). Analytical and Bioanalytical Chemistry. 410(20). 4867–4873. 169 indexed citations
8.
Keçili, Rüstem, Johan Billing, Mats Leeman, et al.. (2012). Selective scavenging of the genotoxic impurity methyl p-toluenesulfonate from pharmaceutical formulations. Separation and Purification Technology. 103. 173–179. 21 indexed citations
9.
Wahlund, Karl‐Gustav, Mats Leeman, & Stalin Santacruz. (2010). Size separations of starch of different botanical origin studied by asymmetrical-flow field-flow fractionation and multiangle light scattering. Analytical and Bioanalytical Chemistry. 399(4). 1455–1465. 30 indexed citations
10.
Leeman, Mats, Elin Östman, & Inger Björck. (2007). Glycaemic and satiating properties of potato products. European Journal of Clinical Nutrition. 62(1). 87–95. 55 indexed citations
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Luo, Jian, Mats Leeman, András Ballagi, et al.. (2006). Size characterization of green fluorescent protein inclusion bodies in E. coli using asymmetrical flow field-flow fractionation–multi-angle light scattering. Journal of Chromatography A. 1120(1-2). 158–164. 23 indexed citations
13.
Leeman, Mats, Karl‐Gustav Wahlund, & Bengt Wittgren. (2006). Programmed cross flow asymmetrical flow field-flow fractionation for the size separation of pullulans and hydroxypropyl cellulose. Journal of Chromatography A. 1134(1-2). 236–245. 39 indexed citations
14.
Nilsson, Lars, Mats Leeman, Karl‐Gustav Wahlund, & Björn Bergenståhl. (2006). Mechanical Degradation and Changes in Conformation of Hydrophobically Modified Starch. Biomacromolecules. 7(9). 2671–2679. 89 indexed citations
15.
Leeman, Mats, Elin Östman, & Inger Björck. (2005). Vinegar dressing and cold storage of potatoes lowers postprandial glycaemic and insulinaemic responses in healthy subjects. European Journal of Clinical Nutrition. 59(11). 1266–1271. 95 indexed citations
16.
Leeman, Mats, et al.. (1996). Suppression of fusarium wilt of radish by co-inoculation of fluorescentPseudomonas spp. and root-colonizing fungi. European Journal of Plant Pathology. 102(1). 21–31. 84 indexed citations
17.
Leeman, Mats. (1996). Iron Availability Affects Induction of Systemic Resistance to Fusarium Wilt of Radish byPseudomonas fluorescens. Phytopathology. 86(2). 149–149. 189 indexed citations
18.
Leeman, Mats, et al.. (1995). Induction of systemic resistance byPseudomonas fluorescens in radish cultivars differing in susceptibility to fusarium wilt, using a novel bioassay. European Journal of Plant Pathology. 101(6). 655–664. 121 indexed citations
19.
Leeman, Mats. (1995). Biocontrol of Fusarium Wilt of Radish in Commercial Greenhouse Trials by Seed Treatment withPseudomonas fluorescensWCS374. Phytopathology. 85(10). 1301–1301. 89 indexed citations
20.
Verhoeff, Karl W., et al.. (1988). Changes in pH and the Production of Organic Acids During Colonization of Tomato Petioles by Botrytis cinerea. Journal of Phytopathology. 122(4). 327–336. 45 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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