Daniela Lakomy

53 total papers · 881 total citations
27 papers, 397 citations indexed

About

Daniela Lakomy is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Daniela Lakomy has authored 27 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 7 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Daniela Lakomy's work include Chronic Lymphocytic Leukemia Research (7 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Multiple Myeloma Research and Treatments (4 papers). Daniela Lakomy is often cited by papers focused on Chronic Lymphocytic Leukemia Research (7 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Multiple Myeloma Research and Treatments (4 papers). Daniela Lakomy collaborates with scholars based in France, United States and Belgium. Daniela Lakomy's co-authors include Bernard Bonnotte, Sylvain Audia, Nicolas Larmonier, Emmanuel Katsanis, Jennifer Fraszczak, M. Samson, Éric Solary, Laurent Lagrost, Angélique Chevriaux and Philippe Gambert and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Daniela Lakomy

23 papers receiving 387 citations

Author Peers

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

Author						Papers	Cites
Daniela Lakomy	193	84	80	77	58	27	397
Begoña Hurtado	173 0.9×	128 1.5×	88 1.1×	65 0.8×	61 1.1×	19	401
Akitsugu Ojima	245 1.3×	133 1.6×	53 0.7×	63 0.8×	47 0.8×	22	397
Kumiko Shimoyama	70 0.4×	62 0.7×	56 0.7×	91 1.2×	34 0.6×	30	342
Dana Salzberg	256 1.3×	62 0.7×	90 1.1×	79 1.0×	48 0.8×	20	425
Mikio Danbara	88 0.5×	75 0.9×	173 2.2×	99 1.3×	26 0.4×	23	362
M. M. Tongio	209 1.1×	84 1.0×	55 0.7×	42 0.5×	25 0.4×	35	446
Lingli Dong	145 0.8×	51 0.6×	108 1.4×	95 1.2×	48 0.8×	19	355
Ferdinando Porretto	97 0.5×	177 2.1×	66 0.8×	39 0.5×	47 0.8×	24	443
Alexandra Kouraklis‐Symeonidis	116 0.6×	213 2.5×	103 1.3×	45 0.6×	38 0.7×	24	393
Ana Oteiza	94 0.5×	76 0.9×	99 1.2×	38 0.5×	42 0.7×	18	395

Countries citing papers authored by Daniela Lakomy

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Lakomy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Lakomy

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Lakomy. A scholar is included among the top collaborators of Daniela Lakomy 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 Daniela Lakomy. Daniela Lakomy 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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