H. G. Alpermann

14 total papers · 1.0k total citations
11 papers, 892 citations indexed

About

H. G. Alpermann is a scholar working on Genetics, Cancer Research and Pharmacology. According to data from OpenAlex, H. G. Alpermann has authored 11 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Cancer Research and 2 papers in Pharmacology. Recurrent topics in H. G. Alpermann's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Beetle Biology and Toxicology Studies (2 papers) and Plant-based Medicinal Research (1 paper). H. G. Alpermann is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Beetle Biology and Toxicology Studies (2 papers) and Plant-based Medicinal Research (1 paper). H. G. Alpermann collaborates with scholars based in Germany. H. G. Alpermann's co-authors include Klaus Wirth, Franz J. Hock, Wilfried Α. König, Bernward A. Schölkens, Jochen Knolle, Gerhard Breipohl, Udo Albus, Wolfgang Linz, Kay Brune and Hannes Vogel and has published in prestigious journals such as British Journal of Pharmacology, Cellular and Molecular Life Sciences and Naunyn-Schmiedeberg s Archives of Pharmacology.

In The Last Decade

H. G. Alpermann

11 papers receiving 841 citations

Hit Papers

Hoe 140 a new potent and ... 1991 2026 2002 2014 1991 200 400 600

Author Peers

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

Author Last Decade Papers Cites
H. G. Alpermann 573 291 193 180 150 11 892
Irena Duka 276 0.5× 304 1.0× 42 0.2× 89 0.5× 117 0.8× 12 995
Branislav M. Marcic 447 0.8× 359 1.2× 72 0.4× 52 0.3× 88 0.6× 13 928
Vanessa F. Merino 246 0.4× 452 1.6× 54 0.3× 57 0.3× 126 0.8× 26 875
Claudie Hecquet 129 0.2× 302 1.0× 68 0.4× 139 0.8× 135 0.9× 16 871
Madeleine Austinat 173 0.3× 306 1.1× 103 0.5× 49 0.3× 259 1.7× 10 1.0k
Ann-Maree Duncan 284 0.5× 275 0.9× 91 0.5× 104 0.6× 39 0.3× 13 1.0k
Adebayo Laniyonu 215 0.4× 223 0.8× 129 0.7× 116 0.6× 66 0.4× 21 702
W K Pollock 93 0.2× 502 1.7× 105 0.5× 157 0.9× 85 0.6× 11 977
E G Lapetina 71 0.1× 535 1.8× 74 0.4× 182 1.0× 97 0.6× 16 933
Nikki Daskalakis 145 0.3× 402 1.4× 54 0.3× 56 0.3× 89 0.6× 10 1.0k

Countries citing papers authored by H. G. Alpermann

Since Specialization
Citations

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

Fields of papers citing papers by H. G. Alpermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. G. Alpermann. 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 H. G. Alpermann. The network helps show where H. G. Alpermann may publish in the future.

Co-authorship network of co-authors of H. G. Alpermann

This figure shows the co-authorship network connecting the top 25 collaborators of H. G. Alpermann. A scholar is included among the top collaborators of H. G. Alpermann 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 H. G. Alpermann. H. G. Alpermann 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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