Robert Lakomy
- Immunology top 10%
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 5
- Immune Response and Inflammation 2
- Transplantation top 10%
- Genetics top 10%
- Diabetes and associated disorders 3
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- Pancreatic function and diabetes 2
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- Glycosylation and Glycoproteins Research 3
- Ubiquitin and proteasome pathways 2
- Co-authors
- Alexis StycheJo HarnahaNick GiannoukakisMassimo TruccoWilliam H. ChambersXuehui GengWilliam A. RudertPatrizia Luppi
- Cited by
- ImmunologyTransplantationGenetics
- Journals
- The Journal of Immunology (4 papers)Diabetes (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Robert Lakomy
18 papers receiving 656 citations
Peers
Comparison fields: 5 of 88
- Immunology 371
- Transplantation 19
- Genetics 189
- Endocrinology, Diabetes and Metabolism 74
- Surgery 122
Countries citing papers authored by Robert Lakomy
This map shows the geographic impact of Robert Lakomy'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 Robert Lakomy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Lakomy more than expected).
Fields of papers citing papers by Robert Lakomy
This network shows the impact of papers produced by Robert Lakomy. 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 Robert Lakomy. The network helps show where Robert Lakomy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Lakomy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 43 | |
| 2 | 2016 | 9 | |
| 3 | 2016 | 1 | |
| 4 | 2016 | 1 | |
| 5 | 2011 | 18 | |
| 6 | 2011 | 55 | |
| 7 | 2011 | 14 | |
| 8 | 2011 | 22 | |
| 9 | 2010 | 42 | |
| 10 | 2008 | 74 | |
| 11 | [Cardiotoxicity of drugs used in oncology]. | 2008 | 3 |
| 12 | 2006 | 74 | |
| 13 | 2004 | 134 | |
| 14 | 2002 | 88 | |
| 15 | 1994 | 39 | |
| 16 | 1992 | 32 | |
| 17 | 1991 | 17 | |
| 18 | 1986 | 7 |
About Robert Lakomy
Robert Lakomy is a scholar working on Immunology, Oncology, Pharmacology, Genetics and Hematology, having authored 18 papers that have together received 673 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (5 papers), Glycosylation and Glycoproteins Research (3 papers), Diabetes and associated disorders (3 papers), Ubiquitin and proteasome pathways (2 papers), Immune Response and Inflammation (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Immunology (371 citations), Transplantation (19 citations), Genetics (189 citations), Endocrinology, Diabetes and Metabolism (74 citations) and Surgery (122 citations). Robert Lakomy has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Alexis Styche, Jo Harnaha, Nick Giannoukakis, Massimo Trucco, Massimo Trucco, William H. Chambers, Xuehui Geng, William A. Rudert, Patrizia Luppi and Vincenza Cifarelli. Their work appears in journals such as The Journal of Immunology, Diabetes, Journal of Visualized Experiments, Nature Methods and Journal of Biological Chemistry.
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.