G. D. Burchard

25 total papers · 750 total citations
22 papers, 575 citations indexed

About

G. D. Burchard is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Parasitology. According to data from OpenAlex, G. D. Burchard has authored 22 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Parasitology. Recurrent topics in G. D. Burchard's work include Amoebic Infections and Treatments (8 papers), Malaria Research and Control (6 papers) and Mosquito-borne diseases and control (5 papers). G. D. Burchard is often cited by papers focused on Amoebic Infections and Treatments (8 papers), Malaria Research and Control (6 papers) and Mosquito-borne diseases and control (5 papers). G. D. Burchard collaborates with scholars based in Germany, Israel and Gabon. G. D. Burchard's co-authors include Egbert Tannich, Michael Fromm, Hanno Troeger, Joerg D. Schulzke, Martin Zeitz, Ulrich Wahnschaffe, Hans–Jörg Epple, T. Jelinek, Reiner Ullrich and Thomas Schneider and has published in prestigious journals such as Gut, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

G. D. Burchard

21 papers receiving 539 citations

Author Peers

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

Author Last Decade Papers Cites
G. D. Burchard 302 278 148 139 53 22 575
Pierantonio Macchia 129 0.4× 197 0.7× 109 0.7× 81 0.6× 81 1.5× 23 592
Paul Casanova 356 1.2× 297 1.1× 56 0.4× 199 1.4× 23 0.4× 18 558
John H. Whiting 148 0.5× 107 0.4× 145 1.0× 38 0.3× 37 0.7× 19 529
P. A. J. Ball 153 0.5× 74 0.3× 89 0.6× 38 0.3× 112 2.1× 22 543
Pieter J. Wismans 208 0.7× 118 0.4× 99 0.7× 162 1.2× 267 5.0× 26 674
K.K. Adamama‐Moraitou 119 0.4× 117 0.4× 125 0.8× 63 0.5× 72 1.4× 36 500
T. Mark Neer 411 1.4× 355 1.3× 75 0.5× 53 0.4× 62 1.2× 21 674
Catherine Langston 161 0.5× 75 0.3× 114 0.8× 26 0.2× 33 0.6× 25 632
Marian J. Ridley 108 0.4× 252 0.9× 100 0.7× 196 1.4× 246 4.6× 34 574
Robin H. Miller 90 0.3× 79 0.3× 112 0.8× 157 1.1× 128 2.4× 24 594

Countries citing papers authored by G. D. Burchard

Since Specialization
Citations

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

Fields of papers citing papers by G. D. Burchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. D. Burchard

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