Ben Jann
Impact in
- Endocrinology top 0.2%
- Escherichia coli research studies
- Statistics and Probability top 0.5%
- Survey Sampling and Estimation Techniques
Papers in
-
- Probability and Statistical Research 21
- Survey Sampling and Estimation Techniques 12
-
- Income, Poverty, and Inequality 9
- Co-authors
- Klaus Jann (45 shared papers)I Orskóv (11 shared papers)Frits Ørskov (9 shared papers)Jennie E. Brand (1 shared paper)Yu Xie (1 shared paper)Andreas Diekmann (13 shared papers)Ivar Krumpal (5 shared papers)Marc Höglinger (3 shared papers)
- Journals
- The Stata Journal Promoting communications on statistics and Stata (19 papers)Journal of Bacteriology (11 papers)Infection and Immunity (7 papers)European Journal of Biochemistry (4 papers)American Sociological Review (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Ben Jann
136 papers receiving 5.2k citations
Ben Jann's Hit Papers
Peers
Comparison fields: 5 of 196
- Endocrinology 1.2k
- Statistics and Probability 521
- Molecular Medicine 232
- Gender Studies 378
- Microbiology 213
Countries citing papers authored by Ben Jann
This map shows the geographic impact of Ben Jann'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 Ben Jann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Jann more than expected).
Fields of papers citing papers by Ben Jann
This network shows the impact of papers produced by Ben Jann. 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 Ben Jann. The network helps show where Ben Jann may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Jann, 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Blinder–Oaxaca Decomposition for Linear Regression Models Hit paper breakdown → | 2008 | 1288 |
| 2 | Serology, chemistry, and genetics of O and K antigens of Escherichia coli Hit paper breakdown → | 1977 | 714 |
| 3 | 2014 | 274 | |
| 4 | 1977 | 262 | |
| 5 | 2012 | 245 | |
| 6 | 2011 | 178 | |
| 7 | 1990 | 165 | |
| 8 | 2013 | 133 | |
| 9 | 2011 | 102 | |
| 10 | 2007 | 90 | |
| 11 | 1976 | 86 | |
| 12 | 2012 | 84 | |
| 13 | 1967 | 73 | |
| 14 | 1967 | 72 | |
| 15 | 2005 | 70 | |
| 16 | 1970 | 65 | |
| 17 | 1993 | 64 | |
| 18 | 1985 | 60 | |
| 19 | 2016 | 59 | |
| 20 | 1986 | 53 |
About Ben Jann
Ben Jann is a scholar working on Statistics and Probability, Sociology and Political Science, Endocrinology, Molecular Biology and Economics and Econometrics, having authored 152 papers that have together received 5.6k indexed citations. Recurring topics across this work include Escherichia coli research studies (26 papers), Probability and Statistical Research (21 papers), Glycosylation and Glycoproteins Research (17 papers), Carbohydrate Chemistry and Synthesis (17 papers), Bacteriophages and microbial interactions (15 papers), Survey Sampling and Estimation Techniques (12 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Income, Poverty, and Inequality (9 papers). The work is most often cited by research in Endocrinology (1.2k citations), Statistics and Probability (521 citations), Molecular Medicine (232 citations), Gender Studies (378 citations) and Microbiology (213 citations). Ben Jann has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Klaus Jann, I Orskóv, Frits Ørskov, Jennie E. Brand, Yu Xie, Andreas Diekmann, Ivar Krumpal, Marc Höglinger, G Schmidt and Wojtek Przepiorka. Their work appears in journals such as The Stata Journal Promoting communications on statistics and Stata, Journal of Bacteriology, Infection and Immunity, European Journal of Biochemistry and American Sociological Review.
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.