Ingrid Huber

5.8k citations
72 papers · 4.3k indexed · 2 hit papers · h-index 30

Impact in

Papers in

Ingrid Huber

72 papers receiving 4.1k citations

Hit Papers

Guidelines for validation of qualitative real-time PCR methods 2014 · 349 citations
3491997202620062016100200300400500

Peers

Ingrid Huber
Comparison fields: 5 of 148
  • Endocrinology 488
  • Aquatic Science 514
  • Pollution 516
  • Immunology 925
  • Ecology 930
Replace Mark R. Liles with:
Mark R. Liles United States
Carla Pruzzo Italy
Itzhak Mizrahi Israel
Se Chang Park South Korea
Robert Schmieder United States
Juan J. Borrego Spain
Todd M. Lowe United States
Alejandro P. Rooney United States
Jian Ye China
Margo Cnockaert Belgium
Ingrid Huber relative to Mark R. Liles United States Mark R. Liles's profile →
Citations per field
00.5×1.5×
Mark R. Liles · 1×
Citations per year

Countries citing papers authored by Ingrid Huber

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20235
3 20237
4 20221
5 202122
6 2020100
7 201821
8 20178
9 201611
10 2016150
11 201418
12 201429
13 201468
14 201395
15 201334
16 201022
17 201042
18 200737
19 2006125
20 199976

About Ingrid Huber

Ingrid Huber is a scholar working on Endocrinology, Clinical Biochemistry, Food Science, Biotechnology and Infectious Diseases, having authored 72 papers that have together received 4.3k indexed citations. Recurring topics across this work include Identification and Quantification in Food (17 papers), Salmonella and Campylobacter epidemiology (16 papers), Bacterial Identification and Susceptibility Testing (13 papers), Genomics and Phylogenetic Studies (9 papers), CRISPR and Genetic Engineering (7 papers), Viral gastroenteritis research and epidemiology (7 papers), Molecular Biology Techniques and Applications (7 papers) and Aquaculture disease management and microbiota (6 papers). The work is most often cited by research in Endocrinology (488 citations), Aquatic Science (514 citations), Pollution (516 citations), Immunology (925 citations) and Ecology (930 citations). Ingrid Huber has collaborated with scholars based in Germany, Denmark and Slovenia. Frequent co-authors include Lone Gram, Ulrich Busch, Bettina Spanggaard, Wolfgang Ludwig, Rudolf Amann, Torben Nielsen, Jiri Snaidr, Karl‐Heinz Schleifer, Andreas Sing and Melanie Pavlovic. Their work appears in journals such as Applied and Environmental Microbiology, Food Control, Food Analytical Methods, European Food Research and Technology and Eurosurveillance.

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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