Angelika Danielsson

4.1k total citations
9 papers, 235 citations indexed

About

Angelika Danielsson is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Angelika Danielsson has authored 9 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Angelika Danielsson's work include Pancreatic function and diabetes (4 papers), Diabetes and associated disorders (3 papers) and RNA modifications and cancer (2 papers). Angelika Danielsson is often cited by papers focused on Pancreatic function and diabetes (4 papers), Diabetes and associated disorders (3 papers) and RNA modifications and cancer (2 papers). Angelika Danielsson collaborates with scholars based in Sweden, Netherlands and Germany. Angelika Danielsson's co-authors include Fredrik Pontén, Olle Korsgren, Björn M. Hallström, Mathias Uhlén, Linn Fagerberg, Cecilia Lindskog, Karolina Edlund, Lars Johansson, Jan W. Eriksson and Per‐Henrik Edqvist and has published in prestigious journals such as PLoS ONE, American Journal Of Pathology and Journal of Histochemistry & Cytochemistry.

In The Last Decade

Angelika Danielsson

9 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Angelika Danielsson Sweden	8	114	106	83	72	27	9	235
Bushra Memon Qatar	8	211 1.9×	134 1.3×	111 1.3×	78 1.1×	16 0.6×	12	284
Tanya Halvorsen United States	6	151 1.3×	183 1.7×	121 1.5×	85 1.2×	45 1.7×	7	381
Deimantė Šimaitė Germany	7	91 0.8×	116 1.1×	49 0.6×	21 0.3×	15 0.6×	8	238
Ashley E. Ciecko United States	10	122 1.1×	67 0.6×	163 2.0×	66 0.9×	25 0.9×	19	308
Hideaki Chiyo Japan	14	41 0.4×	216 2.0×	196 2.4×	48 0.7×	14 0.5×	24	430
Anabel José Spain	7	91 0.8×	178 1.7×	131 1.6×	37 0.5×	69 2.6×	10	337
Sarah F. Andres United States	11	36 0.3×	260 2.5×	51 0.6×	37 0.5×	60 2.2×	22	367
Lina Mariana Australia	10	189 1.7×	100 0.9×	174 2.1×	88 1.2×	26 1.0×	11	339
Adam Ramzy Canada	7	310 2.7×	155 1.5×	173 2.1×	153 2.1×	24 0.9×	10	384
David I. Berrios United States	5	82 0.7×	107 1.0×	54 0.7×	50 0.7×	41 1.5×	6	246

Countries citing papers authored by Angelika Danielsson

Since Specialization

Citations

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

Fields of papers citing papers by Angelika Danielsson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelika Danielsson

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

All Works

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9 of 9 papers shown

Hellström‐Lindahl, Ewa, Angelika Danielsson, Fredrik Pontén, et al.. (2015). GPR44 is a pancreatic protein restricted to the human beta cell. Acta Diabetologica. 53(3). 413–421. 30 indexed citations

Danielsson, Angelika, Fredrik Pontén, Linn Fagerberg, et al.. (2014). The Human Pancreas Proteome Defined by Transcriptomics and Antibody-Based Profiling. PLoS ONE. 9(12). e115421–e115421. 31 indexed citations

Andersson, Sandra, Kenneth Nilsson, Linn Fagerberg, et al.. (2014). The Transcriptomic and Proteomic Landscapes of Bone Marrow and Secondary Lymphoid Tissues. PLoS ONE. 9(12). e115911–e115911. 12 indexed citations

Skog, Oskar, Anna Wiberg, Angelika Danielsson, et al.. (2014). Expression of Human Leukocyte Antigen Class I in Endocrine and Exocrine Pancreatic Tissue at Onset of Type 1 Diabetes. American Journal Of Pathology. 185(1). 129–138. 17 indexed citations

Edqvist, Per‐Henrik, Linn Fagerberg, Björn M. Hallström, et al.. (2014). Expression of Human Skin-Specific Genes Defined by Transcriptomics and Antibody-Based Profiling. Journal of Histochemistry & Cytochemistry. 63(2). 129–141. 56 indexed citations

Kampf, Caroline, Adil Mardinoğlu, Linn Fagerberg, et al.. (2014). Defining the human gallbladder proteome by transcriptomics and affinity proteomics. PROTEOMICS. 14(21-22). 2498–2507. 17 indexed citations

Lindskog, Cecilia, Olle Korsgren, Fredrik Pontén, et al.. (2012). Novel pancreatic beta cell-specific proteins: Antibody-based proteomics for identification of new biomarker candidates. Journal of Proteomics. 75(9). 2611–2620. 56 indexed citations

Danielsson, Angelika, et al.. (2011). The HDAC Inhibitor FK228 Enhances Adenoviral Transgene Expression by a Transduction-Independent Mechanism but Does Not Increase Adenovirus Replication. PLoS ONE. 6(2). e14700–e14700. 7 indexed citations

Maitland, Norman J., Karen Chambers, Martha Simpson-Holley, et al.. (2009). Gene Transfer Vectors Targeted to Human Prostate Cancer: Do We Need Better Preclinical Testing Systems?. Human Gene Therapy. 21(7). 815–827. 9 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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