Catharina Neßelmann

23 total papers · 736 total citations
12 papers, 597 citations indexed

About

Catharina Neßelmann is a scholar working on Surgery, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Catharina Neßelmann has authored 12 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Genetics and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Catharina Neßelmann's work include Mesenchymal stem cell research (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Catharina Neßelmann is often cited by papers focused on Mesenchymal stem cell research (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Catharina Neßelmann collaborates with scholars based in Germany, Canada and China. Catharina Neßelmann's co-authors include Gustav Steinhoff, Nan Ma, Wenzhong Li, Andreas Lendlein, Karola Lützow, Ren‐Ke Li, Christof Stamm, Lee‐Lee Ong, Yury Ladilov and Dario Furlani and has published in prestigious journals such as Scientific Reports, Stem Cells and Journal of Magnetism and Magnetic Materials.

In The Last Decade

Catharina Neßelmann

12 papers receiving 589 citations

Author Peers

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

Author Last Decade Papers Cites
Catharina Neßelmann 347 323 245 205 71 12 597
Lepeng Zeng 291 0.8× 360 1.1× 303 1.2× 180 0.9× 70 1.0× 11 592
Murat Uğurlucan 274 0.8× 255 0.8× 248 1.0× 125 0.6× 40 0.6× 12 622
Edie M Oliveira 436 1.3× 426 1.3× 230 0.9× 214 1.0× 93 1.3× 7 681
Min-Ji Cha 294 0.8× 246 0.8× 250 1.0× 164 0.8× 52 0.7× 13 618
Tiemin Zhao 309 0.9× 300 0.9× 252 1.0× 156 0.8× 83 1.2× 7 604
Masahiko Nishida 350 1.0× 351 1.1× 332 1.4× 164 0.8× 71 1.0× 18 618
Kristine Yee 149 0.4× 322 1.0× 360 1.5× 130 0.6× 132 1.9× 14 604
David Zisa 314 0.9× 271 0.8× 199 0.8× 99 0.5× 110 1.5× 11 560
Paulo Brofman 370 1.1× 260 0.8× 204 0.8× 100 0.5× 36 0.5× 14 549
Jordi Farré 238 0.7× 286 0.9× 225 0.9× 136 0.7× 127 1.8× 19 601

Countries citing papers authored by Catharina Neßelmann

Since Specialization
Citations

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

Fields of papers citing papers by Catharina Neßelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catharina Neßelmann

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