Lars G. Fägerstam

2.8k total citations · 1 hit paper
21 papers, 2.3k citations indexed

About

Lars G. Fägerstam is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, Lars G. Fägerstam has authored 21 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Biomedical Engineering and 5 papers in Biotechnology. Recurrent topics in Lars G. Fägerstam's work include Advanced biosensing and bioanalysis techniques (6 papers), Advanced Biosensing Techniques and Applications (5 papers) and Biofuel production and bioconversion (5 papers). Lars G. Fägerstam is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), Advanced Biosensing Techniques and Applications (5 papers) and Biofuel production and bioconversion (5 papers). Lars G. Fägerstam collaborates with scholars based in Sweden, United Kingdom and United States. Lars G. Fägerstam's co-authors include Robert Karlsson, Björn Persson, Inger Rönnberg, Håkan Roos, L. Göran Pettersson, Åsa Frostell‐Karlsson, Stefan Löfås, Ulf Jönsson, Göran Magnusson and Åsa Frostell and has published in prestigious journals such as Analytical Biochemistry, Biochemical Journal and FEBS Letters.

In The Last Decade

Lars G. Fägerstam

20 papers receiving 2.2k citations

Hit Papers

Real-time biospecific interaction analysis using surface ... 1991 2026 2002 2014 1991 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars G. Fägerstam Sweden 17 1.6k 752 681 268 231 21 2.3k
Magnus Malmqvist Sweden 24 2.2k 1.4× 1.6k 2.1× 619 0.9× 163 0.6× 331 1.4× 42 3.4k
Erich Hochuli Switzerland 14 2.1k 1.3× 775 1.0× 154 0.2× 178 0.7× 125 0.5× 20 2.9k
Björn Persson Sweden 19 2.3k 1.5× 1.0k 1.4× 907 1.3× 41 0.2× 545 2.4× 27 3.3k
José R. Casas‐Finet United States 31 2.3k 1.5× 404 0.5× 311 0.5× 68 0.3× 66 0.3× 77 3.0k
Travis S. Young United States 29 2.3k 1.5× 402 0.5× 618 0.9× 154 0.6× 207 0.9× 46 3.7k
Tomas Moks Sweden 22 2.1k 1.3× 1.0k 1.4× 195 0.3× 208 0.8× 37 0.2× 30 2.7k
Stefan Löfås Sweden 19 2.7k 1.7× 1.1k 1.5× 1.2k 1.7× 57 0.2× 766 3.3× 32 4.0k
Allen E. Eckhardt United States 28 1.6k 1.0× 169 0.2× 1.2k 1.7× 123 0.5× 926 4.0× 42 3.2k
José Luís Corchero Spain 36 2.8k 1.8× 290 0.4× 511 0.8× 497 1.9× 49 0.2× 102 4.1k
Paul Bessette United States 14 959 0.6× 287 0.4× 448 0.7× 126 0.5× 166 0.7× 17 1.8k

Countries citing papers authored by Lars G. Fägerstam

Since Specialization
Citations

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

Fields of papers citing papers by Lars G. Fägerstam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars G. Fägerstam. 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 Lars G. Fägerstam. The network helps show where Lars G. Fägerstam may publish in the future.

Co-authorship network of co-authors of Lars G. Fägerstam

This figure shows the co-authorship network connecting the top 25 collaborators of Lars G. Fägerstam. A scholar is included among the top collaborators of Lars G. Fägerstam 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 Lars G. Fägerstam. Lars G. Fägerstam 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.
Regberg, Tor, et al.. (2011). Novel Affinity Ligands for Chromatography Using Combinatorial Chemistry. Combinatorial Chemistry & High Throughput Screening. 14(4). 267–278.
2.
Blikstad, Ingrid, et al.. (1996). Detection and Characterization of Oligosaccharides in Column Effluents Using Surface Plasmon Resonance. Analytical Biochemistry. 233(1). 42–49. 30 indexed citations
3.
Karlsson, Robert, Håkan Roos, Lars G. Fägerstam, & Björn Persson. (1994). Kinetic and Concentration Analysis Using BIA Technology. Methods. 6(2). 99–110. 229 indexed citations
4.
Karlsson, Robert, et al.. (1993). Analysis of active antibody concentration. Separation of affinity and concentration parameters. Journal of Immunological Methods. 166(1). 75–84. 110 indexed citations
5.
Bondeson, Kåre, Åsa Frostell‐Karlsson, Lars G. Fägerstam, & Göran Magnusson. (1993). Lactose Repressor-Operator DNA Interactions: Kinetic Analysis by a Surface Plasmon Resonance Biosensor. Analytical Biochemistry. 214(1). 245–251. 121 indexed citations
6.
Jönsson, Ulf, Lars G. Fägerstam, Stefan Löfås, et al.. (1993). Introducing a biosensor based technology for real-time biospecific interaction analysis.. PubMed. 51(1). 19–26. 27 indexed citations
7.
Fägerstam, Lars G., Åsa Frostell‐Karlsson, Robert Karlsson, Björn Persson, & Inger Rönnberg. (1992). Biospecific interaction analysis using surface plasmon resonance detection applied to kinetic, binding site and concentration analysis. Journal of Chromatography A. 597(1-2). 397–410. 379 indexed citations
8.
Jönsson, Ulf, Lars G. Fägerstam, Robert Karlsson, et al.. (1991). Real-time biospecific interaction analysis using surface plasmon resonance and a sensor chip technology.. PubMed. 11(5). 620–7. 754 indexed citations breakdown →
9.
Fägerstam, Lars G., et al.. (1990). Detection of antigen—antibody interactions by surface plasmon resonance. Application to Epitope Mapping. Journal of Molecular Recognition. 3(5-6). 208–214. 183 indexed citations
10.
Ekstrand, Bo, et al.. (1985). Fast protein liquid chromatography (FPLC) of bovines caseins. Milk science international/Milchwissenschaft. 40(5). 257–260. 19 indexed citations
11.
Cooper, E.H., et al.. (1985). Fast protein liquid chromatography scale-up procedures for the preparation of low-molecular-weight proteins from urine. Journal of Chromatography A. 327. 269–277. 11 indexed citations
13.
Fägerstam, Lars G., et al.. (1984). The primary structure of a 1,4‐β‐glucan cellobiohydrolase from the fungus Trichoderma reesei QM 9414. FEBS Letters. 167(2). 309–315. 79 indexed citations
14.
Jeppsson, Jan‐Olof, et al.. (1984). Hb-linköping (β36 Pro → Thr): a new hemoglobin mutant characterized by reversed-phase high-performance liquid chromatography. Journal of Chromatography A. 297. 31–36. 27 indexed citations
15.
Fägerstam, Lars G., et al.. (1983). Fast chromatofocusing of human serum proteins with special reference to α1-antitrypsin and Gc-globulin. Journal of Chromatography A. 266. 523–532. 13 indexed citations
16.
Haff, Lawrence A., et al.. (1983). Use of electrophoretic titration curves for predicting optimal chromatographic conditions for fast ion exchange chromatography of proteins. Journal of Chromatography A. 266. 409–425. 48 indexed citations
17.
Fägerstam, Lars G.. (1981). Cellulases from Trichoderma reesei QM 9414 : enzymatic and structural properties. 3 indexed citations
18.
Fägerstam, Lars G. & L. Göran Pettersson. (1980). The 1.4‐β‐glucan cellobiohydrolases of Trichoderma reesei QM 9414. FEBS Letters. 119(1). 97–100. 149 indexed citations
19.
Fägerstam, Lars G. & L. Göran Pettersson. (1979). The cellulolytic complex ofTrichoderma reeseiQM 9414. FEBS Letters. 98(2). 363–367. 55 indexed citations
20.
Fägerstam, Lars G., et al.. (1978). Purification and characterization of a low molecular weight 1,4-β-glucan glucanohydrolase from the cellulolytic fungus Trichoderma viride QM 9414. Biochimica et Biophysica Acta (BBA) - Enzymology. 524(2). 385–392. 42 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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