Lena Häggström

1.2k total citations
34 papers, 877 citations indexed

About

Lena Häggström is a scholar working on Molecular Biology, Genetics and Biochemistry. According to data from OpenAlex, Lena Häggström has authored 34 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Biochemistry. Recurrent topics in Lena Häggström's work include Viral Infectious Diseases and Gene Expression in Insects (14 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Insect Resistance and Genetics (6 papers). Lena Häggström is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (14 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Insect Resistance and Genetics (6 papers). Lena Häggström collaborates with scholars based in Sweden and Australia. Lena Häggström's co-authors include Jan Ljunggren, Sven‐Olof Enfors, Cecilia Förberg, Magnus Doverskog, Peter Neubauer, Lars Öhman, Ulla Jacobsson, Philip W. Kuchel, Ulrika Eriksson and Ingrid Svensson and has published in prestigious journals such as Applied and Environmental Microbiology, Annals of the New York Academy of Sciences and Applied Microbiology and Biotechnology.

In The Last Decade

Lena Häggström

34 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lena Häggström Sweden 18 689 188 97 80 55 34 877
Daniel Uribe-Vélez Colombia 15 504 0.7× 162 0.9× 61 0.6× 45 0.6× 67 1.2× 39 937
A. Mizrahi Israel 16 571 0.8× 280 1.5× 95 1.0× 102 1.3× 93 1.7× 68 1.0k
Amy Cheng Vollmer United States 15 913 1.3× 308 1.6× 160 1.6× 64 0.8× 11 0.2× 28 1.3k
Cynthia B. Elias Canada 16 439 0.6× 211 1.1× 100 1.0× 110 1.4× 44 0.8× 21 626
J. Wallach France 16 577 0.8× 104 0.6× 228 2.4× 104 1.3× 24 0.4× 36 1.3k
Eduardo J. Patriarca Italy 26 820 1.2× 124 0.7× 83 0.9× 43 0.5× 98 1.8× 60 1.8k
S. Ballantine United Kingdom 9 644 0.9× 118 0.6× 118 1.2× 85 1.1× 25 0.5× 10 1.1k
D. Riesenberg Germany 14 897 1.3× 186 1.0× 182 1.9× 138 1.7× 12 0.2× 36 1.1k
Julio Berríos Chile 18 546 0.8× 129 0.7× 93 1.0× 81 1.0× 19 0.3× 40 709
Martina Baumann Austria 16 620 0.9× 93 0.5× 214 2.2× 65 0.8× 15 0.3× 28 867

Countries citing papers authored by Lena Häggström

Since Specialization
Citations

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

Fields of papers citing papers by Lena Häggström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lena Häggström

This figure shows the co-authorship network connecting the top 25 collaborators of Lena Häggström. A scholar is included among the top collaborators of Lena Häggström 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 Lena Häggström. Lena Häggström 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.
Häggström, Lena, et al.. (2009). Proliferation of NS0 cells in protein-free medium: The role of cell-derived proteins, known growth factors and cellular receptors. Journal of Biotechnology. 141(3-4). 123–129. 1 indexed citations
2.
Svensson, Ingrid, et al.. (2006). Effects of Conditioned Medium Factors and Passage Number on Sf9 Cell Physiology and Productivity. Biotechnology Progress. 22(2). 394–400. 22 indexed citations
3.
Eriksson, Ulrika, et al.. (2006). Effect of Conditioned Medium Factors on Productivity and Cell Physiology in Trichoplusia ni Insect Cell Cultures. Biotechnology Progress. 22(3). 653–659. 8 indexed citations
4.
Svensson, Ingrid, et al.. (2005). Antimicrobial activity of conditioned medium fractions from Spodoptera frugiperda Sf9 and Trichoplusia ni Hi5 insect cells. Applied Microbiology and Biotechnology. 69(1). 92–98. 11 indexed citations
5.
Häggström, Lena, et al.. (2005). Defined Protein-Free NS0 Myeloma Cell Cultures: Stimulation of Proliferation by Conditioned Medium Factors. Biotechnology Progress. 21(1). 87–95. 17 indexed citations
6.
Eriksson, Ulrika & Lena Häggström. (2005). Yeast Extract from Express Five Serum-free Medium contains Factors at about 35 kDa, Essential for Growth of Trichoplusia ni Insect Cells. Biotechnology Letters. 27(20). 1623–1627. 4 indexed citations
7.
Häggström, Lena, et al.. (2005). PROTEASE ACTIVITY IN PROTEIN-FREE NS0 MYELOMA CELL CULTURES. In Vitro Cellular & Developmental Biology - Animal. 41(10). 330–330. 4 indexed citations
8.
Svensson, Marie, et al.. (2004). Control of endotoxin release in Escherichia coli fed-batch cultures. Bioprocess and Biosystems Engineering. 27(2). 91–97. 13 indexed citations
9.
Enfors, Sven‐Olof, et al.. (2003). Escherichia coli high-cell-density culture: carbon mass balances and release of outer membrane components. Bioprocess and Biosystems Engineering. 25(4). 205–212. 26 indexed citations
10.
11.
Doverskog, Magnus, et al.. (2000). Determination of NADH-dependent glutamate synthase (GOGAT) in Spodoptera frugiperda (Sf9) insect cells by a selective 1H/15N NMR in vitro assay. Journal of Biotechnology. 79(1). 87–97. 24 indexed citations
12.
Doverskog, Magnus, Lars Öhman, Bogdan E. Chapman, et al.. (2000). Pathways of glutamine metabolism in Spodoptera frugiperda (Sf9) insect cells: evidence for the presence of the nitrogen assimilation system, and a metabolic switch by 1H/15N NMR. Journal of Biotechnology. 78(1). 23–37. 47 indexed citations
13.
14.
Häggström, Lena, et al.. (1999). Effects of NH4+ and K+ on the energy metabolism in Sp2/0-Ag14 myeloma cells. Cytotechnology. 29(1). 45–53. 5 indexed citations
15.
Häggström, Lena, et al.. (1998). Saturable ammonium ion transport in myeloma and hybridoma cells is mediated by the Na+K+2Cl--cotransporter. Biotechnology Letters. 20(1). 81–86. 5 indexed citations
16.
Häggström, Lena, et al.. (1996). Metabolic Engineering of Animal Cellsa. Annals of the New York Academy of Sciences. 782(1). 40–52. 17 indexed citations
17.
Neubauer, Peter, Lena Häggström, & Sven‐Olof Enfors. (1995). Influence of substrate oscillations on acetate formation and growth yield in Escherichia coli glucose limited fed‐batch cultivations. Biotechnology and Bioengineering. 47(2). 139–146. 107 indexed citations
18.
Ljunggren, Jan & Lena Häggström. (1995). Specific growth rate as a parameter for tracing growth-limiting substances in animal cell cultures. Journal of Biotechnology. 42(2). 163–175. 25 indexed citations
19.
Ljunggren, Jan & Lena Häggström. (1992). Glutamine limited fed-batch culture reduces the overflow metabolism of amino acids in myeloma cells. Cytotechnology. 8(1). 45–56. 52 indexed citations
20.
Häggström, Lena & Sven‐Olof Enfors. (1982). Continuous production of butanol with immobilized cells ofClostridium acetobutylicum. Applied Biochemistry and Biotechnology. 7(1-2). 35–37. 16 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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