Gunnar Johansson

6.0k total citations
145 papers, 4.8k citations indexed

About

Gunnar Johansson is a scholar working on Biomedical Engineering, Molecular Biology and Biotechnology. According to data from OpenAlex, Gunnar Johansson has authored 145 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomedical Engineering, 33 papers in Molecular Biology and 27 papers in Biotechnology. Recurrent topics in Gunnar Johansson's work include Enzyme Production and Characterization (23 papers), Biofuel production and bioconversion (22 papers) and Circadian rhythm and melatonin (16 papers). Gunnar Johansson is often cited by papers focused on Enzyme Production and Characterization (23 papers), Biofuel production and bioconversion (22 papers) and Circadian rhythm and melatonin (16 papers). Gunnar Johansson collaborates with scholars based in Sweden, Finland and Estonia. Gunnar Johansson's co-authors include Göran Pettersson, Gunnar Henriksson, Priit Väljamäe, Jerry Ståhlberg, Antti Pertovaara, Pentti Kemppainen, Sirkka-Liisa Karonen, István Szabó, Kalle Kipper and Timo Huopaniemi and has published in prestigious journals such as Journal of the American Chemical Society, Nature Biotechnology and Journal of Molecular Biology.

In The Last Decade

Gunnar Johansson

138 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gunnar Johansson Sweden 37 2.3k 1.6k 1.2k 1.2k 733 145 4.8k
Weilin Liu China 48 368 0.2× 2.2k 1.4× 892 0.7× 182 0.2× 627 0.9× 227 7.4k
Ji Ho Park South Korea 33 1.1k 0.5× 2.1k 1.3× 287 0.2× 78 0.1× 749 1.0× 133 5.3k
Kunio Katō Japan 33 930 0.4× 1.2k 0.7× 912 0.7× 201 0.2× 122 0.2× 282 5.0k
Yuan He China 37 610 0.3× 2.0k 1.3× 864 0.7× 157 0.1× 431 0.6× 143 4.2k
He Li China 33 400 0.2× 1.7k 1.1× 395 0.3× 153 0.1× 238 0.3× 156 4.1k
Jung Hoon Choi South Korea 41 415 0.2× 1.4k 0.9× 353 0.3× 72 0.1× 249 0.3× 309 6.2k
Josef Krieglstein Germany 61 556 0.2× 6.3k 4.0× 296 0.2× 68 0.1× 674 0.9× 307 13.3k
Venera Cardile Italy 45 344 0.2× 2.2k 1.4× 1.0k 0.8× 76 0.1× 236 0.3× 216 6.3k
Xiaodan Wu China 33 701 0.3× 1.1k 0.7× 201 0.2× 233 0.2× 206 0.3× 232 3.5k

Countries citing papers authored by Gunnar Johansson

Since Specialization
Citations

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

Fields of papers citing papers by Gunnar Johansson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunnar Johansson

This figure shows the co-authorship network connecting the top 25 collaborators of Gunnar Johansson. A scholar is included among the top collaborators of Gunnar Johansson 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 Gunnar Johansson. Gunnar Johansson 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.
Ramachandraiah, Harisha, et al.. (2017). A flow-through nanoporous alumina trypsin bioreactor for mass spectrometry peptide fingerprinting. Journal of Proteomics. 172. 165–172. 5 indexed citations
2.
Banefelt, Jonas, et al.. (2016). Lipid‐lowering treatment patterns in patients with new cardiovascular events – estimates from population‐based register data in Sweden. International Journal of Clinical Practice. 70(3). 222–228. 1 indexed citations
3.
Götz, Kathrin, et al.. (2012). Steady-state generation of hydrogen peroxide: kinetics and stability of alcohol oxidase immobilized on nanoporous alumina. Biotechnology Letters. 35(4). 585–590. 12 indexed citations
4.
Mtui, Godliving, et al.. (2009). Purification and characterization of a laccase from the basidiomycete Funalia trogii (Berk.) isolated in Tanzania. African Journal of Biochemistry Research. 3(5). 250–258. 26 indexed citations
5.
Johansson, Gunnar, et al.. (2006). Interactions between model membranes and lignin-related compounds studied by immobilized liposome chromatography. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1758(5). 620–626. 52 indexed citations
6.
Śpiewak, Radosław, María Lundberg, Gunnar Johansson, & Alicja Buczek. (2006). Allergy to pigeon tick (Argas reflexus) in Upper Silesia, Poland.. PubMed. 13(1). 107–12. 11 indexed citations
7.
Kipper, Kalle, Priit Väljamäe, & Gunnar Johansson. (2005). Processive action of cellobiohydrolase Cel7A from Trichoderma reesei is revealed as ‘burst’ kinetics on fluorescent polymeric model substrates. Biochemical Journal. 385(2). 527–535. 102 indexed citations
8.
Johansson, Gunnar, Roland Isaksson, & Göran Pettersson. (2004). Cellulases as Chiral Selectors in Capillary Electrophoresis. Humana Press eBooks. 243. 307–316.
9.
Johansson, Gunnar, et al.. (2004). Recent developments on cellulases and carbohydrate-binding modules with cellulose affinity. Biotechnology Letters. 26(22). 1683–1693. 86 indexed citations
10.
Väljamäe, Priit, Göran Pettersson, & Gunnar Johansson. (2001). Mechanism of substrate inhibition in cellulose synergistic degradation. European Journal of Biochemistry. 268(16). 4520–4526. 65 indexed citations
11.
Johansson, Gunnar, et al.. (2001). An Amperometric Cellobiose Dehydrogenase-Based Biosensor Can Be Used for Measurement of Cellulase Activity. Analytical Biochemistry. 290(2). 245–250. 22 indexed citations
12.
Muñoz, Inés G., Wimal Ubhayasekera, Hongbin Henriksson, et al.. (2001). Family 7 cellobiohydrolases from Phanerochaete chrysosporium: crystal structure of the catalytic module of Cel7D (CBH58) at 1.32 Å resolution and homology models of the isozymes. Journal of Molecular Biology. 314(5). 1097–1111. 82 indexed citations
13.
Johansson, Gunnar, et al.. (2000). Do the extracellular enzymes cellobiose dehydrogenase and manganese peroxidase form a pathway in lignin biodegradation?. FEBS Letters. 477(1-2). 79–83. 80 indexed citations
14.
Henriksson, Hongbin, Göran Pettersson, & Gunnar Johansson. (1999). Discrimination between enantioselective and non-selective binding sites on cellobiohydrolase-based stationary phases by site specific competing ligands. Journal of Chromatography A. 857(1-2). 107–115. 21 indexed citations
15.
Cremata, José A., Raquel Montesino, Jerry Ståhlberg, et al.. (1995). Cloning and characterization of a cDNA encoding a cellobiose dehydrogenase from the white rot fungus Phanerochaete chrysosporium. FEBS Letters. 369(2-3). 233–238. 54 indexed citations
16.
Henriksson, Gunnar, et al.. (1991). Cellobiose oxidase from Phanerochaete chrysosporium can be cleaved by papain into two domains. European Journal of Biochemistry. 196(1). 101–106. 131 indexed citations
17.
Laakso, Maija‐Liisa, Tarja Porkka‐Heiskanen, Aino Alila, Dag Stenberg, & Gunnar Johansson. (1990). Saliva and serum samples were collected from eight healthy volunteers every two hours during a 26‐hour period. Melatonin concentrations were measured by radioimmunoassay after chloroform extraction using radioiodinated melatonin as a tracer. Five of the subjects had high serum melatonin levels at night (peak levels higher than 75 pg/ml); in three subjects the highest serum melatonin concentration was 20‐40 pg/ml. All subjects had low levels (<10 pg/ml) during the day. The correlations between salivary and serum levels were calculated. The regression line y =0.33×+ 3.7 pg/ml, r= 0.95, P <0.001, was obtained for all detectable value pairs (n= 73). The regression and correlation coefficients were almost equal for the peak values of melatonin and during the rising and descending phases of the secretion patterns. However, no significant correlation was found between low daytime salivary and serum concentrations when calculated separately. In the five high‐secretors the melatonin levels in saliva reflected reliably the changes in serum, but in the three low‐secretors the correlation between salivary and serum melatonin was not significant. The proportion of melatonin found in saliva decreased with increasing serum melatonin levels. Circadian rhythm parameters were estimated by single cosinor analysis. The acrophases did not differ significantly within a subject in the concomitant measurements of serum and salivary melatonin. The measurements of salivary melatonin levels seem valid for studies on melatonin rhythms, but the melatonin concentrations measured in saliva do not always consistently reflect the absolute concentrations in blood.. Journal of Pineal Research. 9(1). 39–50. 96 indexed citations
18.
Johansson, Gunnar, et al.. (1984). Effects of ethyl alcohol on hypothalamic affective defense in the cat. Pharmacology Biochemistry and Behavior. 20(6). 841–844. 1 indexed citations
19.
Johansson, Gunnar, et al.. (1980). Daily rhythm of locomotor activity is abolished during rapid eye movement sleep deprivation in the rat. Physiology & Behavior. 24(2). 327–330. 13 indexed citations
20.
Laitinen, Lauri V., et al.. (1967). THE EFFECT OF NITROUS OXIDE ON PULSATILE CEREBRAL IMPEDANCE AND CEREBRAL BLOOD FLOW. British Journal of Anaesthesia. 39(10). 781–785. 11 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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