Nina Prokoph

42 total papers · 673 total citations
12 papers, 213 citations indexed

About

Nina Prokoph is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Nina Prokoph has authored 12 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Nina Prokoph's work include Lymphoma Diagnosis and Treatment (4 papers), Metabolism, Diabetes, and Cancer (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Nina Prokoph is often cited by papers focused on Lymphoma Diagnosis and Treatment (4 papers), Metabolism, Diabetes, and Cancer (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Nina Prokoph collaborates with scholars based in United Kingdom, Germany and Czechia. Nina Prokoph's co-authors include Suzanne D. Turner, Megan S. Lim, G.A. Amos Burke, Ralf Jauch, Mathias François, Kamesh Narasimhan, Friedemann Hesse, Linlin Hou, René Handrick and Xuecong Wang and has published in prestigious journals such as Nucleic Acids Research, Blood and British Journal of Haematology.

In The Last Decade

Nina Prokoph

12 papers receiving 211 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 Prokoph 133 64 52 29 28 12 213
E. L. Woodward 111 0.8× 49 0.8× 24 0.5× 32 1.1× 25 0.9× 14 218
Amalia Patereli 94 0.7× 68 1.1× 23 0.4× 27 0.9× 26 0.9× 12 217
Luca Paruzzo 71 0.5× 92 1.4× 56 1.1× 23 0.8× 45 1.6× 12 184
Anja Bukovac 175 1.3× 92 1.4× 62 1.2× 88 3.0× 22 0.8× 15 315
Igor Shendrik 123 0.9× 59 0.9× 37 0.7× 32 1.1× 42 1.5× 12 307
Michael P. Randall 118 0.9× 81 1.3× 18 0.3× 53 1.8× 31 1.1× 11 214
Samuel Q. Li 117 0.9× 56 0.9× 34 0.7× 36 1.2× 13 0.5× 13 261
Haiting Ma 190 1.4× 82 1.3× 14 0.3× 43 1.5× 32 1.1× 14 302
Valentina Agnusdei 203 1.5× 65 1.0× 28 0.5× 44 1.5× 39 1.4× 11 315
Ping Yang 221 1.7× 54 0.8× 17 0.3× 48 1.7× 22 0.8× 15 305

Countries citing papers authored by Nina Prokoph

Since Specialization
Citations

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

Fields of papers citing papers by Nina Prokoph

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Prokoph

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