Daniel Ambort

14 papers receiving 1.3k citations

Peers

Daniel Ambort
Comparison fields: 5 of 100
  • Pharmaceutical Science 97
  • Gastroenterology 67
  • Molecular Biology 682
  • Food Science 183
  • Nutrition and Dietetics 140
Replace Durai B. Subramani with:
Durai B. Subramani United States
Takashi Kanaya Japan
Caroline Kurtz United States
Philip D. Rye Norway
Caroline Ridley United Kingdom
Susan J. Hagen United States
Marj Howard United Kingdom
Patricia A. Castillo United States
G P Roberts United Kingdom
Nabil Hailat Jordan
Daniel Ambort relative to Durai B. Subramani United States Durai B. Subramani's profile →
Citations per field
00.5×2.6×
Durai B. Subramani · 1×
Citations per year

Countries citing papers authored by Daniel Ambort

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ambort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011409
2 2012275
3 2012271
4 201179
5 200861
6 201260
7 201345
8 201440
9 200826
10 200922
11 200811
12 20122
13 20082
14
Factores motivadores e integradores en la formación experimental
20161
15 20160

About Daniel Ambort

Daniel Ambort is a scholar working on Molecular Biology, Organic Chemistry, Cell Biology, Immunology and Allergy and Nephrology, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Proteoglycans and glycosaminoglycans research (5 papers), Cell Adhesion Molecules Research (3 papers), Peptidase Inhibition and Analysis (2 papers), Protease and Inhibitor Mechanisms (2 papers), E-Learning and Knowledge Management (2 papers) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Pharmaceutical Science (97 citations), Gastroenterology (67 citations), Molecular Biology (682 citations), Food Science (183 citations) and Nutrition and Dietetics (140 citations). Daniel Ambort has collaborated with scholars based in Sweden, Switzerland and Germany. Frequent co-authors include Gunnar C. Hansson, Malin Johansson, Jenny K. Gustafsson, Anna Ermund, Hans Hebert, Harriet E. Nilsson, Henrik Sjövall, Malin Bäckström, Sjoerd van der Post and Philip J.B. Koeck. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, FEBS Journal, Cold Spring Harbor Perspectives in Medicine and Cellular and Molecular Life 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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