Anne‐Marie Lambeir
- Oncology top 0.5%
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 5%
- Co-authors
- Ingrid De MeesterSimon ScharpéChristine DurinxKoen AugustynsPieter Van der VekenAchiel HaemersJurgen JoossensPaul Proost
- Topics
- Peptidase Inhibition and Analysis (94 papers)Neuropeptides and Animal Physiology (65 papers)Diabetes Treatment and Management (23 papers)
- Partner nations
- BelgiumUnited StatesCanada
In The Last Decade
Anne‐Marie Lambeir
176 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Oncology 3.8k
- Molecular Biology 3.1k
- Cellular and Molecular Neuroscience 2.0k
- Endocrinology, Diabetes and Metabolism 1.5k
- Surgery 897
Countries citing papers authored by Anne‐Marie Lambeir
This map shows the geographic impact of Anne‐Marie Lambeir'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 Anne‐Marie Lambeir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne‐Marie Lambeir more than expected).
Fields of papers citing papers by Anne‐Marie Lambeir
This network shows the impact of papers produced by Anne‐Marie Lambeir. 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 Anne‐Marie Lambeir. The network helps show where Anne‐Marie Lambeir may publish in the future.
Co-authorship network of co-authors of Anne‐Marie Lambeir
This figure shows the co-authorship network connecting the top 25 collaborators of Anne‐Marie Lambeir. A scholar is included among the top collaborators of Anne‐Marie Lambeir based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anne‐Marie Lambeir. Anne‐Marie Lambeir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 36 | |
| 6 | 20 | |
| 7 | 139 | |
| 8 | 12 | |
| 9 | 15 | |
| 10 | 47 | |
| 11 | 76 | |
| 12 | 62 | |
| 13 | 41 | |
| 14 | 15 | |
| 15 | 28 | |
| 16 | 97 | |
| 17 | 226 | |
| 18 | Comparative properties of a factor-xa inhibitor, 4c2 (an aprotonin analog), heparin and hirudin in a hamster femoral vein platelet-rich mural thrombosis model | 2 |
| 19 | 72 | |
| 20 | 94 |
About Anne‐Marie Lambeir
Anne‐Marie Lambeir is a scholar working on Cellular and Molecular Neuroscience, Oncology and Endocrinology, Diabetes and Metabolism, having authored 177 papers that have together received 7.8k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (94 papers), Neuropeptides and Animal Physiology (65 papers) and Diabetes Treatment and Management (23 papers). The work is most often cited by research in Oncology (3.8k citations), Cellular and Molecular Neuroscience (2.0k citations) and Endocrinology, Diabetes and Metabolism (1.5k citations). Anne‐Marie Lambeir has collaborated with scholars based in Belgium, United States and Canada. Frequent co-authors include Ingrid De Meester, Simon Scharpé, Christine Durinx, Koen Augustyns, Pieter Van der Veken, Achiel Haemers, Jurgen Joossens, Paul Proost, H. Brian Dunford and Rik K. Wierenga. Their work appears in journals such as Journal of Biological Chemistry, Blood and PLoS ONE.
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.