W. E. G. M�ller

1.4k citations
52 papers · 1.3k · h-index 21

Impact in

Papers in

    • Genomics and Phylogenetic Studies 4
    • Glycosylation and Glycoproteins Research 3
    • RNA Research and Splicing 3
    • Biochemical and Molecular Research 3
    • Marine Sponges and Natural Products 10

W. E. G. M�ller

51 papers receiving 1.2k citations

Peers

W. E. G. M�ller
Comparison fields: 5 of 108
  • Biotechnology 386
  • Virology 53
  • Immunology 211
  • Paleontology 77
  • Biomaterials 115
Replace M.E.H. Howden with:
M.E.H. Howden Australia
W. Ross Ellington United States
G. Barrie Kitto United States
Rustam Ziganshin Russia
John S. Allingham Canada
Mark J. Dufton United Kingdom
Lawrence J. Dangott United States
Naoki Fujitani Japan
Anabel Marina Spain
Frank C. Bancroft United States
W. E. G. M�ller relative to M.E.H. Howden Australia M.E.H. Howden's profile →
Citations per field
00.5×10×12.8×
M.E.H. Howden · 1×
Citations per year

Countries citing papers authored by W. E. G. M�ller

Since Specialization
Citations

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

Fields of papers citing papers by W. E. G. M�ller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. E. G. M�ller. 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 W. E. G. M�ller. The network helps show where W. E. G. M�ller may publish in the future.

Co-authors

The 25 scholars most cited alongside W. E. G. M�ller, 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 W. E. G. M�ller Line = papers co-authored together W. E. G. M�ller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995158
2 1993116
3 200483
4 198964
5 200354
6 199253
7 200450
8 200449
9 199637
10 200434
11 199233
12 199932
13 198229
14 200528
15 199427
16 199426
17 200525
18 199524
19 198824
20 197321

About W. E. G. M�ller

W. E. G. M�ller is a scholar working on Molecular Biology, Biotechnology, Immunology, Organic Chemistry and Pharmacology, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Marine Sponges and Natural Products (10 papers), Marine Biology and Environmental Chemistry (4 papers), Genomics and Phylogenetic Studies (4 papers), Glycosylation and Glycoproteins Research (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Herpesvirus Infections and Treatments (3 papers), RNA Research and Splicing (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Biotechnology (386 citations), Virology (53 citations), Immunology (211 citations), Paleontology (77 citations) and Biomaterials (115 citations). W. E. G. M�ller has collaborated with scholars based in Germany, Croatia and Netherlands. Frequent co-authors include Matthias Wiens, Rudolf K. Ζahn, Michael Bachmann, George M. C. Janssen, Baruch Rinkevich, Karin Pfeifer, Silke Leutner, Anne Eckert, N. J. Cairns and Katrin Schuessel. Their work appears in journals such as Molecular Biology Reports, Die Naturwissenschaften, Archives of Virology, Marine Biology and Journal of Neural Transmission.

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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