Mark Haberkamp

8 total papers · 752 total citations
8 papers, 631 citations indexed

About

Mark Haberkamp is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Mark Haberkamp has authored 8 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cell Biology, 4 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Mark Haberkamp's work include Hemoglobin structure and function (5 papers), Erythrocyte Function and Pathophysiology (4 papers) and Skin and Cellular Biology Research (3 papers). Mark Haberkamp is often cited by papers focused on Hemoglobin structure and function (5 papers), Erythrocyte Function and Pathophysiology (4 papers) and Skin and Cellular Biology Research (3 papers). Mark Haberkamp collaborates with scholars based in Germany, United States and France. Mark Haberkamp's co-authors include Thomas Hankeln, Thorsten Burmester, Anja Roesner, Christine Fuchs, Marc Schmidt, Bettina Ebner, Frank Gerlach, Sylvia Wystub, Bettina Weich and Tilmann Laufs and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Mark Haberkamp

8 papers receiving 622 citations

Author Peers

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

Author Last Decade Papers Cites
Mark Haberkamp 540 308 227 128 118 8 631
Anja Roesner 585 1.1× 320 1.0× 254 1.1× 145 1.1× 153 1.3× 7 773
Cecilia D’Alterio 99 0.2× 420 1.4× 70 0.3× 15 0.1× 69 0.6× 10 740
Adam J. Schindler 291 0.5× 277 0.9× 73 0.3× 21 0.2× 79 0.7× 12 664
Maryanne Pendergast 299 0.6× 406 1.3× 52 0.2× 26 0.2× 11 0.1× 11 767
Charles DeRossi 131 0.2× 507 1.6× 76 0.3× 21 0.2× 34 0.3× 14 730
Kimberly D. McClure 149 0.3× 477 1.5× 32 0.1× 22 0.2× 16 0.1× 10 714
Peter J. Schweinsberg 285 0.5× 366 1.2× 84 0.4× 14 0.1× 65 0.6× 9 638
Mathias Köppen 275 0.5× 456 1.5× 91 0.4× 14 0.1× 120 1.0× 8 786
S J Stary 110 0.2× 338 1.1× 87 0.4× 12 0.1× 24 0.2× 8 588
Robert Tyszkowski 107 0.2× 476 1.5× 102 0.4× 29 0.2× 11 0.1× 7 632

Countries citing papers authored by Mark Haberkamp

Since Specialization
Citations

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

Fields of papers citing papers by Mark Haberkamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Haberkamp

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