J. Preiss

5.7k citations
77 papers · 4.3k · h-index 37

Impact in

Papers in

J. Preiss

77 papers receiving 4.0k citations

Peers

J. Preiss
Comparison fields: 5 of 99
  • Biotechnology 1.3k
  • Nutrition and Dietetics 1.5k
  • Plant Science 1.8k
  • Biochemistry 234
  • Molecular Biology 1.9k
Replace Javier Pozueta‐Romero with:
Javier Pozueta‐Romero Spain
Alberto Á. Iglesias Argentina
W. Z. Hassid United States
Ŝtefan Janeĉek Slovakia
M. Kapoor Canada
Tokuya Harada Japan
Jean-Marie Aubert France
Ganesh M. Kishore United States
William J. Hurkman United States
Francisco José Muñoz Spain
J. Preiss relative to Javier Pozueta‐Romero Spain Javier Pozueta‐Romero's profile →
Citations per field
00.5×3.0×
Javier Pozueta‐Romero · 1×
Citations per year

Countries citing papers authored by J. Preiss

Since Specialization
Citations

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

Fields of papers citing papers by J. Preiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996350
2 1984317
3 1982279
4 1993184
5 1992163
6 1961149
7 1995123
8 1993121
9 1993119
10 1995109
11 1969103
12 198185
13 199082
14 197879
15 198979
16 198676
17 199173
18 198673
19 198371
20 197669

About J. Preiss

J. Preiss is a scholar working on Molecular Biology, Materials Chemistry, Plant Science, Nutrition and Dietetics and Biotechnology, having authored 77 papers that have together received 4.3k indexed citations. Recurring topics across this work include Enzyme Structure and Function (28 papers), Glycosylation and Glycoproteins Research (18 papers), Biochemical and Molecular Research (16 papers), Enzyme Production and Characterization (16 papers), Microbial Metabolites in Food Biotechnology (12 papers), Food composition and properties (11 papers), Plant nutrient uptake and metabolism (10 papers) and Carbohydrate Chemistry and Synthesis (9 papers). The work is most often cited by research in Biotechnology (1.3k citations), Nutrition and Dietetics (1.5k citations), Plant Science (1.8k citations), Biochemistry (234 citations) and Molecular Biology (1.9k citations). J. Preiss has collaborated with scholars based in United States, Australia and Norway. Frequent co-authors include Hanping Guan, Thomas W. Okita, Brian Smith-White, Thomas F. Parsons, Elaine Greenberg, M. Dieckmann, Paul Berg, Preston A. Baecker, Steven Ball and Thomas H. Haugen. Their work appears in journals such as Journal of Biological Chemistry, PLANT PHYSIOLOGY, Journal of Bacteriology, Archives of Biochemistry and Biophysics and Proceedings of the National Academy of Sciences.

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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