Paula Bertram
- Immunology top 5%
- Complement system in diseases 10
- Virology top 5%
- Poxvirus research and outbreaks 4
- Aging top 10%
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer 4
- Fungal and yeast genetics research 3
- Glycosylation and Glycoproteins Research 2
- Nephrology top 5%
- Renal Diseases and Glomerulopathies 3
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- Transgenic Plants and Applications 3
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- Blood groups and transfusion 3
- Co-authors
- Xiao-Feng ZhengTing‐Fung ChanWandong AiJohn CarvalhoChi Kwan TsangM. Kathryn LiszewskiHong LiMarcus P. Watkins
- Cited by
- ImmunologyVirologyAging
- Journals
- Molecular Immunology (4 papers)The Journal of Immunology (4 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Paula Bertram
30 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 672
- Virology 112
- Aging 35
- Molecular Biology 1.3k
- Nephrology 116
Countries citing papers authored by Paula Bertram
This map shows the geographic impact of Paula Bertram'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 Paula Bertram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Bertram more than expected).
Fields of papers citing papers by Paula Bertram
This network shows the impact of papers produced by Paula Bertram. 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 Paula Bertram. The network helps show where Paula Bertram may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paula Bertram, 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 | 2018 | 12 | |
| 2 | 2017 | 86 | |
| 3 | 2016 | 88 | |
| 4 | 2015 | 13 | |
| 5 | Autoantibodies to CD59, CD55, CD46 and CD35 are not associated with aHUS | 2014 | 1 |
| 6 | 2014 | 5 | |
| 7 | 2014 | 32 | |
| 8 | Intracellular Complement Activation Sustains T Cell Homeostasis and Mediates Effector Differentiationbreakdown → | 2013 | 420 |
| 9 | 2009 | 26 | |
| 10 | 2008 | 24 | |
| 11 | 2006 | 100 | |
| 12 | 2006 | 246 | |
| 13 | 2003 | 133 | |
| 14 | 2002 | 94 | |
| 15 | 2002 | 84 | |
| 16 | 2001 | 56 | |
| 17 | 2001 | 146 | |
| 18 | 2001 | 44 | |
| 19 | 2000 | 198 | |
| 20 | 1998 | 79 |
About Paula Bertram
Paula Bertram is a scholar working on Virology, Immunology, Nephrology, Hematology and Biotechnology, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Complement system in diseases (10 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Poxvirus research and outbreaks (4 papers), Renal Diseases and Glomerulopathies (3 papers), Transgenic Plants and Applications (3 papers), Blood groups and transfusion (3 papers), Fungal and yeast genetics research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology (672 citations), Virology (112 citations), Aging (35 citations), Molecular Biology (1.3k citations) and Nephrology (116 citations). Paula Bertram has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Xiao-Feng Zheng, Ting‐Fung Chan, Wandong Ai, John Carvalho, Chi Kwan Tsang, M. Kathryn Liszewski, Hong Li, Marcus P. Watkins, Ryan M. Drenan and Jae Hyuk Choi. Their work appears in journals such as Molecular Immunology, The Journal of Immunology, Journal of Biological Chemistry, Current Biology and Immunity.
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.