Unn‐Merete Fagerli

64 total papers · 1.2k total citations
33 papers, 736 citations indexed

About

Unn‐Merete Fagerli is a scholar working on Pathology and Forensic Medicine, Oncology and Hematology. According to data from OpenAlex, Unn‐Merete Fagerli has authored 33 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pathology and Forensic Medicine, 18 papers in Oncology and 9 papers in Hematology. Recurrent topics in Unn‐Merete Fagerli's work include Lymphoma Diagnosis and Treatment (15 papers), Multiple Myeloma Research and Treatments (9 papers) and Cancer survivorship and care (7 papers). Unn‐Merete Fagerli is often cited by papers focused on Lymphoma Diagnosis and Treatment (15 papers), Multiple Myeloma Research and Treatments (9 papers) and Cancer survivorship and care (7 papers). Unn‐Merete Fagerli collaborates with scholars based in Norway, Denmark and United States. Unn‐Merete Fagerli's co-authors include Magne Børset, Anders Sundan, Anders Waage, Randi Utne Holt, Berit Størdal, Therese Standal, Niels Abildgaard, Øyvind Hjertner, Torstein B. Rø and Toril Holien and has published in prestigious journals such as Blood, Clinical Cancer Research and British Journal of Haematology.

In The Last Decade

Unn‐Merete Fagerli

31 papers receiving 723 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Unn‐Merete Fagerli	285	275	261	198	135	33	736
Deborah Yallop	223 0.8×	180 0.7×	181 0.7×	203 1.0×	435 3.2×	36	780
Pascal Godmer	189 0.7×	128 0.5×	157 0.6×	136 0.7×	113 0.8×	31	798
H Weinstein	156 0.5×	197 0.7×	133 0.5×	289 1.5×	80 0.6×	24	716
H.‐G. Mergenthaler	111 0.4×	543 2.0×	95 0.4×	206 1.0×	173 1.3×	33	903
Geoffrey Chong	151 0.5×	391 1.4×	95 0.4×	302 1.5×	175 1.3×	58	763
Valérie Méresse	314 1.1×	335 1.2×	218 0.8×	57 0.3×	133 1.0×	23	829
Y. Terui	330 1.2×	207 0.8×	57 0.2×	181 0.9×	74 0.5×	28	685
Binglin Yue	194 0.7×	320 1.2×	61 0.2×	136 0.7×	76 0.6×	41	855
L Mangoni	231 0.8×	220 0.8×	505 1.9×	161 0.8×	242 1.8×	53	887
Timothy Larson	374 1.3×	443 1.6×	85 0.3×	171 0.9×	47 0.3×	30	786

Countries citing papers authored by Unn‐Merete Fagerli

Since Specialization

Citations

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

Fields of papers citing papers by Unn‐Merete Fagerli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Unn‐Merete Fagerli. 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 Unn‐Merete Fagerli. The network helps show where Unn‐Merete Fagerli may publish in the future.

Co-authorship network of co-authors of Unn‐Merete Fagerli

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

All Works

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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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