Burkhard Höckendorf

24 total papers · 882 total citations
11 papers, 532 citations indexed

About

Burkhard Höckendorf is a scholar working on Molecular Biology, Biophysics and Cell Biology. According to data from OpenAlex, Burkhard Höckendorf has authored 11 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Biophysics and 2 papers in Cell Biology. Recurrent topics in Burkhard Höckendorf's work include Advanced Fluorescence Microscopy Techniques (5 papers), Cell Image Analysis Techniques (5 papers) and Single-cell and spatial transcriptomics (4 papers). Burkhard Höckendorf is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (5 papers), Cell Image Analysis Techniques (5 papers) and Single-cell and spatial transcriptomics (4 papers). Burkhard Höckendorf collaborates with scholars based in United States, Germany and Japan. Burkhard Höckendorf's co-authors include Philipp Keller, William C. Lemon, Yinan Wan, Fernando Amat, Katie McDole, Raghav K. Chhetri, Joachim Wittbrodt, Jeremy Freeman, Stefan R. Pulver and Kristin Branson and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Development.

In The Last Decade

Burkhard Höckendorf

11 papers receiving 521 citations

Author Peers

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

Author Last Decade Papers Cites
Burkhard Höckendorf 292 230 110 90 76 11 532
Alexander Y. Katsov 228 0.8× 138 0.6× 151 1.4× 113 1.3× 34 0.4× 7 509
Austen A. Sitko 203 0.7× 257 1.1× 144 1.3× 110 1.2× 67 0.9× 12 528
Citlali Pérez Campos 276 0.9× 121 0.5× 57 0.5× 176 2.0× 61 0.8× 12 448
Tatsuya C. Murakami 317 1.1× 238 1.0× 70 0.6× 149 1.7× 45 0.6× 5 557
Yusuke Niino 140 0.5× 414 1.8× 120 1.1× 56 0.6× 57 0.8× 11 604
Dmitrij Ljaschenko 94 0.3× 249 1.1× 293 2.7× 34 0.4× 80 1.1× 13 505
James D. Manton 168 0.6× 118 0.5× 264 2.4× 80 0.9× 39 0.5× 23 544
Tri Nguyen 76 0.3× 205 0.9× 143 1.3× 36 0.4× 42 0.6× 21 575
Erica E. Jung 243 0.8× 168 0.7× 162 1.5× 96 1.1× 23 0.3× 13 487
Tuanlian Luo 111 0.4× 377 1.6× 137 1.2× 36 0.4× 41 0.5× 11 590

Countries citing papers authored by Burkhard Höckendorf

Since Specialization
Citations

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

Fields of papers citing papers by Burkhard Höckendorf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Burkhard Höckendorf

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