I. Feil
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Microbiology top 10%
- Bacterial Infections and Vaccines
Papers in
-
- Escherichia coli research studies 6
-
- Enzyme Structure and Function 9
- Co-authors
- Wim G. J. Hol (9 shared papers)Jörg Hendle (3 shared papers)Lolke de Haan (5 shared papers)Etienne Agsteribbe (4 shared papers)Jan Wilschut (4 shared papers)Christophe L. M. J. Verlinde (2 shared papers)Philip H. Pétra (2 shared papers)Ethan A. Merritt (5 shared papers)
- Journals
- Protein Science (2 papers)Protein Engineering Design and Selection (2 papers)Journal of Biological Chemistry (2 papers)Journal of Structural and Functional Genomics (1 paper)European Journal of Immunology (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
I. Feil
16 papers receiving 919 citations
Peers
Comparison fields: 5 of 69
- Endocrinology 105
- Microbiology 49
- Immunology 132
- Computational Theory and Mathematics 102
- Molecular Biology 377
Countries citing papers authored by I. Feil
This map shows the geographic impact of I. Feil'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 I. Feil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Feil more than expected).
Fields of papers citing papers by I. Feil
This network shows the impact of papers produced by I. Feil. 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 I. Feil. The network helps show where I. Feil may publish in the future.
Co-authors
The 25 scholars most cited alongside I. Feil, 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 | 2005 | 213 | |
| 2 | 2004 | 175 | |
| 3 | 2001 | 101 | |
| 4 | 1995 | 99 | |
| 5 | 1998 | 76 | |
| 6 | 1996 | 57 | |
| 7 | 1997 | 50 | |
| 8 | 2005 | 46 | |
| 9 | 1998 | 43 | |
| 10 | 1994 | 39 | |
| 11 | 1996 | 23 | |
| 12 | 1997 | 17 | |
| 13 | 1997 | 12 | |
| 14 | 1994 | 9 | |
| 15 | Non-toxic variants of the Escherichia coli heat-labile enterotoxin as mucosal immunogens and adjuvants | 1998 | 6 |
| 16 | 1998 | 5 |
About I. Feil
I. Feil is a scholar working on Endocrinology, Materials Chemistry, Immunology, Molecular Biology and Microbiology, having authored 16 papers that have together received 971 indexed citations. Recurring topics across this work include Enzyme Structure and Function (9 papers), Escherichia coli research studies (6 papers), Toxin Mechanisms and Immunotoxins (4 papers), Immunotherapy and Immune Responses (3 papers), Enzyme Catalysis and Immobilization (2 papers), Receptor Mechanisms and Signaling (1 paper), Bacterial Infections and Vaccines (1 paper) and Enzyme Production and Characterization (1 paper). The work is most often cited by research in Endocrinology (105 citations), Microbiology (49 citations), Immunology (132 citations), Computational Theory and Mathematics (102 citations) and Molecular Biology (377 citations). I. Feil has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Wim G. J. Hol, Jörg Hendle, Lolke de Haan, Etienne Agsteribbe, Jan Wilschut, Christophe L. M. J. Verlinde, Philip H. Pétra, Ethan A. Merritt, Marc Malfois and Dmitri I. Svergun. Their work appears in journals such as Protein Science, Protein Engineering Design and Selection, Journal of Biological Chemistry, Journal of Structural and Functional Genomics and European Journal of 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.