Ann‐Maj Persson

689 total citations
18 papers, 582 citations indexed

About

Ann‐Maj Persson is a scholar working on Molecular Biology, Immunology and Allergy and Immunology. According to data from OpenAlex, Ann‐Maj Persson has authored 18 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and Allergy and 5 papers in Immunology. Recurrent topics in Ann‐Maj Persson's work include Cell Adhesion Molecules Research (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Blood disorders and treatments (3 papers). Ann‐Maj Persson is often cited by papers focused on Cell Adhesion Molecules Research (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Blood disorders and treatments (3 papers). Ann‐Maj Persson collaborates with scholars based in Sweden, Netherlands and Italy. Ann‐Maj Persson's co-authors include Inge Olsson, Urban Gullberg, Anders Lindmark, T. Hallberg, Ingemar Winqvist, Tor Olofsson, Kurt Stromberg, Eva Nilsson, Daniel Garwicz and Siv Ahrné and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Biochemical Journal.

In The Last Decade

Ann‐Maj Persson

18 papers receiving 555 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann‐Maj Persson Sweden 13 216 191 134 105 101 18 582
Susan L. Woulfe United States 12 527 2.4× 412 2.2× 81 0.6× 41 0.4× 49 0.5× 25 1.0k
Mark Ryan United States 15 618 2.9× 219 1.1× 65 0.5× 31 0.3× 62 0.6× 21 1.2k
Thaddeus C. George United States 13 519 2.4× 404 2.1× 40 0.3× 30 0.3× 66 0.7× 19 1.0k
Susan M. Fennewald United States 20 207 1.0× 280 1.5× 153 1.1× 20 0.2× 98 1.0× 26 1.3k
Tomohiko Ebata Japan 10 477 2.2× 522 2.7× 39 0.3× 80 0.8× 24 0.2× 16 1.0k
Moo-Kyung Kim United States 15 400 1.9× 320 1.7× 113 0.8× 102 1.0× 15 0.1× 19 742
N H Moskowitz United States 9 993 4.6× 233 1.2× 124 0.9× 38 0.4× 35 0.3× 9 1.3k
Caroline Desmetz France 19 273 1.3× 380 2.0× 47 0.4× 24 0.2× 38 0.4× 30 949
Agnes H. Henschen-Edman United States 16 270 1.3× 782 4.1× 133 1.0× 37 0.4× 22 0.2× 22 1.4k
Yinghui Shi China 10 200 0.9× 180 0.9× 30 0.2× 37 0.4× 64 0.6× 19 625

Countries citing papers authored by Ann‐Maj Persson

Since Specialization
Citations

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

Fields of papers citing papers by Ann‐Maj Persson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann‐Maj Persson. 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 Ann‐Maj Persson. The network helps show where Ann‐Maj Persson may publish in the future.

Co-authorship network of co-authors of Ann‐Maj Persson

This figure shows the co-authorship network connecting the top 25 collaborators of Ann‐Maj Persson. A scholar is included among the top collaborators of Ann‐Maj Persson 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 Ann‐Maj Persson. Ann‐Maj Persson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Schwenke, J., R. Rakowski, Xupeng He, et al.. (2012). Digital in‐line holography on amplitude and phase objects prepared with electron beam lithography. Journal of Microscopy. 247(2). 196–201. 5 indexed citations
2.
Nordenfelt, Pontus, Jero Calafat, Hans Janssen, et al.. (2010). Neutrophil elastase and proteinase 3 trafficking routes in myelomonocytic cells. Experimental Cell Research. 316(19). 3182–3196. 4 indexed citations
3.
Johansson, Åsa, Kutty Selva Nandakumar, Ann‐Maj Persson, Inge Olsson, & Markus Hansson. (2009). Secretory lysosome targeting and induced secretion of human soluble TNF-α receptor in murine hematopoietic cells in vivo as a principle for immunoregulation in inflammation and malignancy. Experimental Hematology. 37(8). 969–978. 2 indexed citations
4.
Hansson, Markus, Ann‐Maj Persson, Hans Janssen, et al.. (2008). The tetraspanin CD63 is involved in granule targeting of neutrophil elastase. Blood. 112(8). 3444–3454. 40 indexed citations
5.
Tapper, Hans, et al.. (2006). Neutrophil elastase sorting involves plasma membrane trafficking requiring the C-terminal propeptide. Experimental Cell Research. 312(18). 3471–3484. 13 indexed citations
6.
Olsson, André, et al.. (2005). The leukemia-associated ETO homologues are differently expressed during hematopoietic differentiation. Experimental Hematology. 33(2). 189–198. 28 indexed citations
7.
Ross, I. N., et al.. (2005). On the temporal contrast of high intensity femtosecond laser pulses. Laser and Particle Beams. 23(3). 327–332. 21 indexed citations
8.
Olsson, André, et al.. (2003). Interactions between the leukaemia‐associated ETO homologues of nuclear repressor proteins. European Journal Of Haematology. 71(6). 439–447. 17 indexed citations
9.
Olsson, A. Yvonne, Ann‐Maj Persson, Camilla Valtonen‐André, & Åke Lundwall. (2000). Glandular Kallikreins of the Cotton-Top Tamarin: Molecular Cloning of the Gene Encoding the Tissue Kallikrein. DNA and Cell Biology. 19(12). 721–727. 5 indexed citations
10.
Svanberg, Sune, Stefan Andersson‐Engels, Rinaldo Cubeddu, et al.. (2000). Generation, characterization, and medical utilization of laser-produced emission continua. Laser and Particle Beams. 18(3). 563–570. 3 indexed citations
11.
Garwicz, Daniel, Anders Lindmark, Ann‐Maj Persson, & Urban Gullberg. (1998). On the Role of the Proform-Conformation for Processing and Intracellular Sorting of Human Cathepsin G. Blood. 92(4). 1415–1422. 28 indexed citations
12.
Garwicz, Daniel, Anders Lindmark, Ann‐Maj Persson, & Urban Gullberg. (1998). On the Role of the Proform-Conformation for Processing and Intracellular Sorting of Human Cathepsin G. Blood. 92(4). 1415–1422. 28 indexed citations
14.
Ehinger, Mats, Eva Nilsson, Ann‐Maj Persson, Inge Olsson, & Urban Gullberg. (1995). Involvement of the tumor suppressor gene p53 in tumor necrosis factor-induced differentiation of the leukemic cell line K562.. PubMed. 6(1). 9–17. 26 indexed citations
15.
Gullberg, Urban, Anders Lindmark, Eva-Lotta Nilsson, Ann‐Maj Persson, & Inge Olsson. (1994). Processing of human cathepsin G after transfection to the rat basophilic/mast cell tumor line RBL.. Journal of Biological Chemistry. 269(40). 25219–25225. 37 indexed citations
16.
Ståhl, Marie, G. Molin, Ann‐Maj Persson, Siv Ahrné, & Shalom Stahl. (1990). Restriction Endonuclease Patterns and Multivariate Analysis as a Classification Tool for Lactobacillus spp.. International Journal of Systematic Bacteriology. 40(2). 189–193. 56 indexed citations
17.
Olsson, Inge, Ann‐Maj Persson, & Kurt Stromberg. (1984). Biosynthesis, transport and processing of myeloperoxidase in the human leukaemic promyelocytic cell line HL-60 and normal marrow cells. Biochemical Journal. 223(3). 911–920. 64 indexed citations
18.
Winqvist, Ingemar, Tor Olofsson, Inge Olsson, Ann‐Maj Persson, & T. Hallberg. (1982). Altered density, metabolism and surface receptors of eosinophils in eosinophilia.. PubMed. 47(3). 531–9. 138 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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