Robert Burman

1.9k citations
33 papers · 1.6k · h-index 21

Impact in

Papers in

    • Biochemical and Structural Characterization 18
    • Glycosylation and Glycoproteins Research 9
    • Epigenetics and DNA Methylation 4
    • Toxin Mechanisms and Immunotoxins 9

Robert Burman

33 papers receiving 1.6k citations

Peers

Robert Burman
Comparison fields: 5 of 88
  • Microbiology 219
  • Biotechnology 221
  • Immunology 418
  • Molecular Biology 1.3k
  • Plant Science 649
Replace Konrad Urech with:
Konrad Urech Germany
Roland Hellinger Austria
Aaron G. Poth Australia
Senia Johansson Sweden
Tsezi A. Egorov Russia
Hsin‐Yi Hung Taiwan
Arlette Longeon France
Camilo Canel United States
Gabriela Myriam Cabrera Argentina
Yasunori Nagamatsu Japan
Robert Burman relative to Konrad Urech Germany Konrad Urech's profile →
Citations per field
00.5×2×3.3×
Konrad Urech · 1×
Citations per year

Countries citing papers authored by Robert Burman

Since Specialization
Citations

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

Fields of papers citing papers by Robert Burman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Burman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Burman Line = papers co-authored together Robert Burman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010211
2 2008124
3 2007123
4 2012114
5 201186
6 201480
7 201780
8 201570
9 199968
10 201063
11 200960
12 201257
13 201943
14 200943
15 201143
16 201143
17 201041
18 201040
19 200537
20 199931

About Robert Burman

Robert Burman is a scholar working on Molecular Biology, Immunology, Plant Science, Pharmacology and Pharmacology, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biochemical and Structural Characterization (18 papers), Phytoplasmas and Hemiptera pathogens (13 papers), Glycosylation and Glycoproteins Research (9 papers), Toxin Mechanisms and Immunotoxins (9 papers), Epigenetics and DNA Methylation (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Synthetic Organic Chemistry Methods (2 papers) and Autism Spectrum Disorder Research (2 papers). The work is most often cited by research in Microbiology (219 citations), Biotechnology (221 citations), Immunology (418 citations), Molecular Biology (1.3k citations) and Plant Science (649 citations). Robert Burman has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Ulf Göransson, Adam A. Strömstedt, Joachim Gullbo, Sunithi Gunasekera, David J. Craik, Anders Herrmann, Maria Pränting, Dan I. Andersson, Camilla Lööv and K. Johan Rosengren. Their work appears in journals such as Journal of Natural Products, Journal of Ethnopharmacology, Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Biological Chemistry and Phytochemistry.

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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