Guntram A. Graßl

4.2k citations
70 papers · 3.0k indexed · 2 hit papers · h-index 26

Guntram A. Graßl

67 papers receiving 2.9k citations

Hit Papers

Same species, different diseases: how and why typhoi...3732006202620122019100200300400500

Peers

Guntram A. Graßl
Comparison fields: 5 of 126
  • Endocrinology 720
  • Food Science 1.2k
  • Infectious Diseases 755
  • Molecular Medicine 184
  • Biotechnology 266
Replace Mariana N. Xavier with:
Mariana N. Xavier Brazil
David O’Callaghan France
Victoria Korolik Australia
Lionel Frangeul France
Simon Clare United Kingdom
Susan M. Logan Canada
Masahisa Watarai Japan
Antje Flieger Germany
Dennis Linton United Kingdom
Holger Rüssmann Germany
Guntram A. Graßl relative to Mariana N. Xavier Brazil Mariana N. Xavier's profile →
Citations per field
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Mariana N. Xavier · 1×
Citations per year

Countries citing papers authored by Guntram A. Graßl

Since Specialization
Citations

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

Fields of papers citing papers by Guntram A. Graßl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guntram A. Graßl. 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 Guntram A. Graßl. The network helps show where Guntram A. Graßl may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 20230
4 202230
5 20224
6 20224
7 202229
8 202120
9 202087
10 201943
11 201813
12 201719
13 201643
14
Same species, different diseases: how and why typhoidal and non-typhoidal Salmonella enterica serovars differbreakdown →
2014373
15 200916
16 2008130
17 200650
18 2005124
19 200345
20 2002117

About Guntram A. Graßl

Guntram A. Graßl is a scholar working on Endocrinology, Food Science and Infectious Diseases, having authored 70 papers that have together received 3.0k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (22 papers), Viral gastroenteritis research and epidemiology (17 papers), Vibrio bacteria research studies (13 papers), Escherichia coli research studies (13 papers), Gut microbiota and health (8 papers), Pharmacological Effects of Natural Compounds (7 papers), Cancer Research and Treatments (7 papers) and Yersinia bacterium, plague, ectoparasites research (7 papers). The work is most often cited by research in Endocrinology (720 citations), Food Science (1.2k citations) and Infectious Diseases (755 citations). Guntram A. Graßl has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include B. Brett Finlay, Bryan Coburn, Erin C. Boyle, Ohad Gal‐Mor, Ingo B. Autenrieth, Bruce A. Vallance, Yanet Valdez, Erwin Bohn, Martin Schaller and Kirk Bergstrom. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Nature Communications.

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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