Sørge Kelm

119 papers receiving 5.7k citations

Sørge Kelm's Hit Papers

Molecular Basis for the Generation in Pigs of Influenza A Viruses with Pandemic Potential 1998 · 810 citations
8100+9+18Years since publication250500750

Peers

Sørge Kelm
Comparison fields: 5 of 128
  • Immunology 1.9k
  • Immunology and Allergy 349
  • Molecular Biology 3.6k
  • Agronomy and Crop Science 478
  • Organic Chemistry 1.1k
Replace Philip J. Barr with:
Philip J. Barr United States
Volker Schirrmacher Germany
Karl‐Heinz Wiesmüller Germany
P J Barr United States
J. Thomas August United States
Roland Schauer Germany
Katsumi Maenaka Japan
Sandra Diaz United States
Rudolf Geyer Germany
Hugues Lortat‐Jacob France
Sørge Kelm relative to Philip J. Barr United States Philip J. Barr's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sørge Kelm

Since Specialization
Citations

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

Fields of papers citing papers by Sørge Kelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sørge Kelm, 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 Sørge Kelm Line = papers co-authored together Sørge Kelm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular Basis for the Generation in Pigs of Influenza A Viruses with Pandemic Potential
Hit paper breakdown →
1998810
2 1997400
3 1994335
4 1995255
5 1991232
6 1994222
7 1994177
8 1992157
9 2002150
10 1992138
11 1992132
12 1998130
13 1996119
14 1993118
15 1996113
16 1996100
17 199589
18 200385
19 199666
20 200661

About Sørge Kelm

Sørge Kelm is a scholar working on Molecular Biology, Organic Chemistry, Immunology, Cell Biology and Epidemiology, having authored 120 papers that have together received 5.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (67 papers), Carbohydrate Chemistry and Synthesis (25 papers), Proteoglycans and glycosaminoglycans research (16 papers), Galectins and Cancer Biology (15 papers), Trypanosoma species research and implications (14 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Cell Adhesion Molecules Research (10 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Immunology (1.9k citations), Immunology and Allergy (349 citations), Molecular Biology (3.6k citations), Agronomy and Crop Science (478 citations) and Organic Chemistry (1.1k citations). Sørge Kelm has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Paul R. Crocker, James C. Paulson, Roland Schauer, Roland Schauer, Linda G. Baum, Sylvie Freeman, Siamon Gordon, Yoshihiro Kawaoka, Toshihiro Ito and Maria Rita Castrucci. Their work appears in journals such as Journal of Biological Chemistry, Carbohydrate Research, Biological Chemistry, FEBS Letters and European Journal of Biochemistry.

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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