Nina Knelange

52 total papers · 974 total citations
7 papers, 58 citations indexed

About

Nina Knelange is a scholar working on Oncology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Nina Knelange has authored 7 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Infectious Diseases and 2 papers in Epidemiology. Recurrent topics in Nina Knelange's work include COVID-19 Clinical Research Studies (2 papers), Neutropenia and Cancer Infections (2 papers) and Fungal Infections and Studies (1 paper). Nina Knelange is often cited by papers focused on COVID-19 Clinical Research Studies (2 papers), Neutropenia and Cancer Infections (2 papers) and Fungal Infections and Studies (1 paper). Nina Knelange collaborates with scholars based in Israel, Italy and Netherlands. Nina Knelange's co-authors include Diana Averbuch, Małgorzata Mikulska, Jan Styczyński, Anke Verlinden, Rafael de la Cámara, Moshe Yeshurun, Liat Shargian, Oren Pasvolsky, Gloria Tridello and Steffie van der Werf and has published in prestigious journals such as Journal of Autoimmunity, Bone Marrow Transplantation and Transplant Infectious Disease.

In The Last Decade

Nina Knelange

7 papers receiving 56 citations

Author Peers

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

Author Last Decade Papers Cites
Nina Knelange 46 21 19 9 8 7 58
Jean-Valère Malfuson 20 0.4× 12 0.6× 20 1.1× 2 0.2× 10 1.3× 8 64
Georg Köchling 28 0.6× 9 0.4× 13 0.7× 6 0.7× 24 3.0× 7 60
A. Reichle 35 0.8× 18 0.9× 44 2.3× 6 0.7× 32 4.0× 5 98
Amanda N. Seddon 10 0.2× 6 0.3× 15 0.8× 2 0.2× 11 1.4× 10 54
Ricardo Morales 56 1.2× 37 1.8× 29 1.5× 16 1.8× 19 2.4× 10 78
Gaby J.M. Francot 12 0.3× 5 0.2× 32 1.7× 7 0.8× 5 0.6× 8 230
Anne Pouvaret 20 0.4× 3 0.1× 41 2.2× 6 0.7× 30 3.8× 9 75
A.‐E. Heng 35 0.8× 4 0.2× 51 2.7× 5 0.6× 17 2.1× 5 249
Frances R. Malone 11 0.2× 4 0.2× 17 0.9× 5 0.6× 5 0.6× 11 216
Elizabeth Calton 8 0.2× 6 0.3× 21 1.1× 6 0.7× 7 0.9× 7 56

Countries citing papers authored by Nina Knelange

Since Specialization
Citations

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

Fields of papers citing papers by Nina Knelange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Knelange

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