Robert H. Schloemer

28 total papers · 1.1k total citations
27 papers, 879 citations indexed

About

Robert H. Schloemer is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Robert H. Schloemer has authored 27 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Epidemiology and 7 papers in Infectious Diseases. Recurrent topics in Robert H. Schloemer's work include Hepatitis B Virus Studies (7 papers), Virus-based gene therapy research (6 papers) and Bacteriophages and microbial interactions (4 papers). Robert H. Schloemer is often cited by papers focused on Hepatitis B Virus Studies (7 papers), Virus-based gene therapy research (6 papers) and Bacteriophages and microbial interactions (4 papers). Robert H. Schloemer collaborates with scholars based in United States. Robert H. Schloemer's co-authors include J S Twu, R R Wagner, Reginald H. Garrett, Charles E. Wilde, Robert R. Wagner, C H Lee, Alyssa M. Kaiser, Karen K. Gerlach, Chao‐Hung Lee and Fred Heffron and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLANT PHYSIOLOGY and Journal of Virology.

In The Last Decade

Robert H. Schloemer

27 papers receiving 783 citations

Author Peers

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

Author Last Decade Papers Cites
Robert H. Schloemer 505 294 207 165 145 27 879
James M. England 488 1.0× 325 1.1× 212 1.0× 142 0.9× 91 0.6× 39 913
Robert Z. Maigetter 347 0.7× 396 1.3× 117 0.6× 135 0.8× 201 1.4× 26 976
D. Eugene Wampler 353 0.7× 426 1.4× 136 0.7× 102 0.6× 186 1.3× 20 968
Nicholas van Buuren 351 0.7× 246 0.8× 148 0.7× 145 0.9× 167 1.2× 27 738
Jean‐Michel Rossignol 339 0.7× 431 1.5× 227 1.1× 124 0.8× 65 0.4× 34 798
Nobuya Ohtomo 498 1.0× 325 1.1× 198 1.0× 128 0.8× 195 1.3× 26 858
Zhaochun Chen 276 0.5× 494 1.7× 157 0.8× 174 1.1× 233 1.6× 30 1.0k
Luc Barraud 540 1.1× 189 0.6× 453 2.2× 72 0.4× 122 0.8× 25 997
Gisa Gerold 357 0.7× 220 0.7× 327 1.6× 89 0.5× 234 1.6× 52 1.1k
Jason D. Graci 225 0.4× 378 1.3× 110 0.5× 171 1.0× 76 0.5× 19 992

Countries citing papers authored by Robert H. Schloemer

Since Specialization
Citations

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

Fields of papers citing papers by Robert H. Schloemer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert H. Schloemer

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