Robert Lakomy
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Genetics top 10%
- Diabetes and associated disorders
Papers in
- Immunology 11
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 5
- Immune Response and Inflammation 2
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- Glycosylation and Glycoproteins Research 3
- Ubiquitin and proteasome pathways 2
- Co-authors
- Alexis Styche (6 shared papers)Jo Harnaha (5 shared papers)Nick Giannoukakis (4 shared papers)Massimo Trucco (4 shared papers)Massimo Trucco (9 shared papers)William H. Chambers (3 shared papers)Xuehui Geng (2 shared papers)William A. Rudert (5 shared papers)
- Journals
- The Journal of Immunology (4 papers)Journal of Visualized Experiments (2 papers)Diabetes (2 papers)Nature Methods (1 paper)Clinical & Experimental Immunology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Robert Lakomy
18 papers receiving 688 citations
Peers
Comparison fields: 5 of 87
- Immunology 346
- Genetics 190
- Transplantation 17
- Endocrinology, Diabetes and Metabolism 70
- Surgery 119
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-authors
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 | 2004 | 141 | |
| 2 | 2002 | 93 | |
| 3 | 2008 | 81 | |
| 4 | 2006 | 77 | |
| 5 | 2011 | 58 | |
| 6 | 2022 | 47 | |
| 7 | 2010 | 43 | |
| 8 | 1994 | 40 | |
| 9 | 1992 | 33 | |
| 10 | 2011 | 22 | |
| 11 | 1991 | 19 | |
| 12 | 2011 | 18 | |
| 13 | 2011 | 15 | |
| 14 | 2016 | 9 | |
| 15 | 1986 | 7 | |
| 16 | [Cardiotoxicity of drugs used in oncology]. | 2008 | 3 |
| 17 | 2016 | 1 | |
| 18 | 2016 | 1 |
About Robert Lakomy
Robert Lakomy is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Surgery, having authored 18 papers that have together received 708 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), Ubiquitin and proteasome pathways (2 papers), Diabetes and associated disorders (2 papers), Immune Response and Inflammation (2 papers) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Immunology (346 citations), Genetics (190 citations), Transplantation (17 citations), Endocrinology, Diabetes and Metabolism (70 citations) and Surgery (119 citations). Robert Lakomy has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Alexis Styche, Jo Harnaha, Nick Giannoukakis, Massimo Trucco, Massimo Trucco, William H. Chambers, Xuehui Geng, William A. Rudert, Vincenza Cifarelli and Patrizia Luppi. Their work appears in journals such as The Journal of Immunology, Journal of Visualized Experiments, Diabetes, Nature Methods and Clinical & Experimental Immunology.
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.