Burkhard Haefner

23 total papers · 1.3k total citations
14 papers, 997 citations indexed

About

Burkhard Haefner is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Burkhard Haefner has authored 14 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Burkhard Haefner's work include Protein Kinase Regulation and GTPase Signaling (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and NF-κB Signaling Pathways (3 papers). Burkhard Haefner is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and NF-κB Signaling Pathways (3 papers). Burkhard Haefner collaborates with scholars based in Belgium, United Kingdom and United States. Burkhard Haefner's co-authors include J. Van Wauwe, Robert D. Gordon, Alan Richardson, Peter Verhasselt, Jan‐Jaap Wesselink, Eva Mortier, Stefan Masure, Margaret C. Frame, Valerie J. Fincham and Ruth Baxter and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Burkhard Haefner

14 papers receiving 929 citations

Hit Papers

Drugs from the deep: mari... 2003 2026 2010 2018 2003 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Burkhard Haefner 498 309 260 165 127 14 997
Thomas L. Simmons 419 0.8× 439 1.4× 428 1.6× 100 0.6× 182 1.4× 12 986
Esther A. Guzmán 336 0.7× 351 1.1× 266 1.0× 123 0.7× 385 3.0× 41 1.0k
Eric H. Andrianasolo 296 0.6× 403 1.3× 311 1.2× 95 0.6× 193 1.5× 13 816
Susan Cornell-Kennon 707 1.4× 139 0.4× 104 0.4× 304 1.8× 223 1.8× 21 1.1k
Changjing Wu 550 1.1× 250 0.8× 394 1.5× 178 1.1× 110 0.9× 39 1.1k
Lanhong Zheng 543 1.1× 147 0.5× 74 0.3× 118 0.7× 57 0.4× 23 796
Naveena B. Janakiram 317 0.6× 83 0.3× 140 0.5× 168 1.0× 57 0.4× 28 796
Xia Li 467 0.9× 109 0.4× 203 0.8× 176 1.1× 147 1.2× 37 1.2k
Fred E. Boettner 451 0.9× 321 1.0× 351 1.4× 83 0.5× 518 4.1× 17 1.1k
Sally A. Look 313 0.6× 346 1.1× 286 1.1× 55 0.3× 362 2.9× 14 975

Countries citing papers authored by Burkhard Haefner

Since Specialization
Citations

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

Fields of papers citing papers by Burkhard Haefner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Burkhard Haefner

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