Marc Weber
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Hepatology top 10%
- Liver Disease and Transplantation
Papers in
-
- RNA and protein synthesis mechanisms 5
- Genomics and Phylogenetic Studies 3
- RNA Research and Splicing 2
- Ecology 4
- Bacteriophages and microbial interactions 4
- Co-authors
- Javier Buceta (4 shared papers)Hassan N. Ibrahim (5 shared papers)John R. Lake (1 shared paper)Gregory M. Vercellotti (2 shared papers)Luís Serrano (6 shared papers)Kalpna Gupta (5 shared papers)María Lluch‐Senar (5 shared papers)Linda J. Burns (1 shared paper)
- Journals
- Molecular Systems Biology (4 papers)Clinical Transplantation (2 papers)BMC Systems Biology (2 papers)Journal of Hepatology (1 paper)Blood (1 paper)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Marc Weber
31 papers receiving 646 citations
Peers
Comparison fields: 5 of 101
- Transplantation 46
- Hepatology 67
- Nephrology 49
- Microbiology 31
- Molecular Biology 259
Countries citing papers authored by Marc Weber
This map shows the geographic impact of Marc Weber'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 Marc Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Weber more than expected).
Fields of papers citing papers by Marc Weber
This network shows the impact of papers produced by Marc Weber. 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 Marc Weber. The network helps show where Marc Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Weber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 100 | |
| 2 | 1999 | 73 | |
| 3 | 1998 | 70 | |
| 4 | 2013 | 51 | |
| 5 | 2021 | 38 | |
| 6 | 2014 | 35 | |
| 7 | 2008 | 33 | |
| 8 | 2020 | 33 | |
| 9 | 2020 | 23 | |
| 10 | 2013 | 21 | |
| 11 | 2007 | 20 | |
| 12 | 2013 | 18 | |
| 13 | 2011 | 18 | |
| 14 | 2014 | 17 | |
| 15 | 2020 | 17 | |
| 16 | 2016 | 16 | |
| 17 | 2005 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 2010 | 9 | |
| 20 | 2009 | 8 |
About Marc Weber
Marc Weber is a scholar working on Molecular Biology, Ecology, Nephrology, Pulmonary and Respiratory Medicine and Genetics, having authored 33 papers that have together received 673 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Bacteriophages and microbial interactions (4 papers), Genomics and Phylogenetic Studies (3 papers), Renal and Vascular Pathologies (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Evolution and Genetic Dynamics (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Transplantation (46 citations), Hepatology (67 citations), Nephrology (49 citations), Microbiology (31 citations) and Molecular Biology (259 citations). Marc Weber has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Javier Buceta, Hassan N. Ibrahim, John R. Lake, Gregory M. Vercellotti, Luís Serrano, Kalpna Gupta, María Lluch‐Senar, Linda J. Burns, Raul Burgos and Daniel J. Walsh. Their work appears in journals such as Molecular Systems Biology, Clinical Transplantation, BMC Systems Biology, Journal of Hepatology and Blood.
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.