Frank Haamann

14 total papers · 474 total citations
10 papers, 358 citations indexed

About

Frank Haamann is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Frank Haamann has authored 10 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 2 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Frank Haamann's work include Antimicrobial Resistance in Staphylococcus (4 papers), Radiation Dose and Imaging (2 papers) and Bacterial biofilms and quorum sensing (2 papers). Frank Haamann is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (4 papers), Radiation Dose and Imaging (2 papers) and Bacterial biofilms and quorum sensing (2 papers). Frank Haamann collaborates with scholars based in Germany and India. Frank Haamann's co-authors include Albert Nienhaus, Madeleine Dulon, Chandrasekharan Nair Kesavachandran, Anja Schablon, Claudia Peters, Dana Wendeler, Xaver Baur and Ute Latza and has published in prestigious journals such as PLoS ONE, BMC Infectious Diseases and International Archives of Occupational and Environmental Health.

In The Last Decade

Frank Haamann

10 papers receiving 340 citations

Author Peers

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

Author						Papers	Cites
Frank Haamann	160	70	62	60	54	10	358
Jorge Julio Cabrera	187 1.2×	62 0.9×	72 1.2×	93 1.6×	47 0.9×	22	393
H. M. Steel	172 1.1×	44 0.6×	12 0.2×	78 1.3×	21 0.4×	10	393
M Marling-Cason	102 0.6×	74 1.1×	29 0.5×	77 1.3×	58 1.1×	12	389
D. BenEzra	110 0.7×	32 0.5×	29 0.5×	162 2.7×	19 0.4×	5	342
Jacobo Sabbaj	148 0.9×	48 0.7×	35 0.6×	161 2.7×	68 1.3×	13	389
Dan J. Morse	124 0.8×	30 0.4×	35 0.6×	46 0.8×	80 1.5×	15	327
B. Thakker	101 0.6×	41 0.6×	24 0.4×	121 2.0×	45 0.8×	9	375
Kenneth Kaplan	113 0.7×	62 0.9×	19 0.3×	88 1.5×	56 1.0×	15	374
Nael Hasan	78 0.5×	28 0.4×	61 1.0×	59 1.0×	102 1.9×	13	378
June Kim	80 0.5×	20 0.3×	14 0.2×	69 1.1×	166 3.1×	20	367

Countries citing papers authored by Frank Haamann

Since Specialization

Citations

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

Fields of papers citing papers by Frank Haamann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Haamann

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