Hein Trip

1.4k citations
24 papers · 777 · h-index 16

Impact in

Papers in

Hein Trip

24 papers receiving 769 citations

Peers

Hein Trip
Comparison fields: 5 of 86
  • Biochemistry 86
  • Clinical Biochemistry 75
  • Food Science 175
  • Nutrition and Dietetics 148
  • Molecular Medicine 40
Replace Vu Van Loi with:
Vu Van Loi Germany
Wouter Konings Netherlands
John E. Houghton United States
Évelyne Turlin France
Jacques Coyette Belgium
Akbar Espaillat Sweden
I. Kullik Switzerland
P. Schmitt France
Richard K.J. Luke Australia
Karin Vido France
Hein Trip relative to Vu Van Loi Germany Vu Van Loi's profile →
Citations per field
00.5×4.7×
Vu Van Loi · 1×
Citations per year

Countries citing papers authored by Hein Trip

Since Specialization
Citations

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

Fields of papers citing papers by Hein Trip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010188
2 200975
3 201556
4 200445
5 201341
6 201038
7 201237
8 201137
9 201235
10 201133
11 201430
12 201227
13 201220
14 201417
15 201517
16 201117
17 201113
18 201311
19 200411
20 20029

About Hein Trip

Hein Trip is a scholar working on Molecular Biology, Food Science, Biochemistry, Genetics and Clinical Biochemistry, having authored 24 papers that have together received 777 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (9 papers), Amino Acid Enzymes and Metabolism (9 papers), Probiotics and Fermented Foods (9 papers), Bacterial Genetics and Biotechnology (7 papers), Bacterial Identification and Susceptibility Testing (4 papers), Bacteriophages and microbial interactions (3 papers), Fungal and yeast genetics research (3 papers) and Biochemical and biochemical processes (2 papers). The work is most often cited by research in Biochemistry (86 citations), Clinical Biochemistry (75 citations), Food Science (175 citations), Nutrition and Dietetics (148 citations) and Molecular Medicine (40 citations). Hein Trip has collaborated with scholars based in Netherlands, France and United States. Frequent co-authors include Juke S. Lolkema, Oscar P. Kuipers, Marcus Miethke, Shashi Chillappagari, Mohamed A. Marahiel, Niels L. Mulder, Andreas Seubert, Patrick Lucas, Andrea Romano and Melchior E. Evers. Their work appears in journals such as Journal of Bacteriology, Applied and Environmental Microbiology, Biochimica et Biophysica Acta (BBA) - Biomembranes, Molecular Microbiology and Microbiology.

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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