J. Brundell

515 total citations
9 papers, 360 citations indexed

About

J. Brundell is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, J. Brundell has authored 9 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Epidemiology. Recurrent topics in J. Brundell's work include Protease and Inhibitor Mechanisms (3 papers), Skin and Cellular Biology Research (2 papers) and S100 Proteins and Annexins (2 papers). J. Brundell is often cited by papers focused on Protease and Inhibitor Mechanisms (3 papers), Skin and Cellular Biology Research (2 papers) and S100 Proteins and Annexins (2 papers). J. Brundell collaborates with scholars based in Sweden, United States and Netherlands. J. Brundell's co-authors include Christine Berggren, Gillis Johansson, Per Stålhandske, Åke Borg, D. Killander, Else Müller‐Schweinitzer, M Fernö, Pär‐Ola Bendahl, Håkan Olsson and Johan Lennerstrand and has published in prestigious journals such as British Journal of Cancer, European Journal of Pharmacology and European Journal of Cancer.

In The Last Decade

J. Brundell

9 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Brundell Sweden 7 205 99 94 86 84 9 360
Secil Koseoglu United States 11 126 0.6× 52 0.5× 36 0.4× 57 0.7× 16 0.2× 25 407
Kun Han China 10 287 1.4× 43 0.4× 72 0.8× 11 0.1× 102 1.2× 14 333
O. O. Ryabaya Russia 10 170 0.8× 21 0.2× 29 0.3× 20 0.2× 36 0.4× 26 302
María Garranzo‐Asensio Spain 16 388 1.9× 103 1.0× 186 2.0× 9 0.1× 58 0.7× 37 560
Dagmar Orgel Germany 10 190 0.9× 27 0.3× 68 0.7× 7 0.1× 199 2.4× 11 397
Shawn D. Llopis United States 7 130 0.6× 78 0.8× 279 3.0× 43 0.5× 32 0.4× 10 438
Faliang Xu China 15 345 1.7× 31 0.3× 111 1.2× 15 0.2× 82 1.0× 21 527
Pablo San Segundo‐Acosta Spain 12 350 1.7× 51 0.5× 105 1.1× 8 0.1× 51 0.6× 18 485
Debra Yeung United Kingdom 8 224 1.1× 79 0.8× 92 1.0× 31 0.4× 13 0.2× 8 422
Mordechai Deutsch Israel 11 141 0.7× 15 0.2× 100 1.1× 15 0.2× 10 0.1× 33 338

Countries citing papers authored by J. Brundell

Since Specialization
Citations

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

Fields of papers citing papers by J. Brundell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Brundell

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

All Works

9 of 9 papers shown
1.
Nap, Marius, Laurent Bellanger, J. Brundell, et al.. (2001). Immunohistochemical Profiles of 30 Monoclonal Antibodies against Cytokeratins 8, 18 and 19. Tumor Biology. 22(1). 4–10. 10 indexed citations
2.
Stigbrand, Torgny, et al.. (2000). A New Specific Method for Measuring S-100B in Serum. The International Journal of Biological Markers. 15(1). 33–40. 12 indexed citations
3.
Ostroff, Rachel, et al.. (1999). A new optical immunoassay for detection of S-100B protein in whole blood. The Annals of Thoracic Surgery. 68(6). 2196–2201. 24 indexed citations
4.
Berggren, Christine, Per Stålhandske, J. Brundell, & Gillis Johansson. (1999). A Feasibility Study of a Capacitive Biosensor for Direct Detection of DNA Hybridization. Electroanalysis. 11(3). 156–160. 188 indexed citations
5.
Fernö, M, Pär‐Ola Bendahl, Åke Borg, et al.. (1996). Urokinase plasminogen activator, a strong independent prognostic factor in breast cancer, analysed in steroid receptor cytosols with a luminometric immunoassay. European Journal of Cancer. 32(5). 793–801. 50 indexed citations
6.
Borg, Åke, Johan Lennerstrand, Mårten Fernö, et al.. (1995). Prognostic significance of p53 overexpression in primary breast cancer; a novel luminometric immunoassay applicable on steroid receptor cytosols. British Journal of Cancer. 71(5). 1013–1017. 54 indexed citations
7.
Sundström, Birgitta, et al.. (1995). Development of a new Prolifigen TPA IRMA assay using monoclonal anti-cytokeratin antibodies. The International Journal of Biological Markers. 10(3). 166–173. 2 indexed citations
8.
Müller‐Schweinitzer, Else & J. Brundell. (1975). Modification of canine vascular smooth muscle responses to dihydroergotamine by endogenous prostaglandin synthesis. European Journal of Pharmacology. 34(1). 197–206. 6 indexed citations
9.
Müller‐Schweinitzer, Else & J. Brundell. (1975). Enhanced Prostaglandin Synthesis Contributes to the Venoconstrictor Activity of Ergotamine. Journal of Vascular Research. 12(4). 193–205. 14 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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