William J. Lennarz
- Cell Biology top 0.1%
- Endoplasmic Reticulum Stress and Disease 42
- Molecular Biology top 0.2%
- Glycosylation and Glycoproteins Research 74
- Fungal and yeast genetics research 21
- Biotechnology top 0.2%
- Enzyme Production and Characterization 19
- Physiology top 0.2%
- Biochemistry top 0.5%
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- Carbohydrate Chemistry and Synthesis 27
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- Marine and coastal plant biology 22
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- Marine Biology and Environmental Chemistry 21
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- Echinoderm biology and ecology 18
- Co-authors
- Charles J. WaechterRobert NoivaJohn A. HanoverTadashi SuzukiDouglas K. StruckGlenn L. DeckerHoward A. KaplanHangil Park
- Journals
- Journal of Biological Chemistry (67 papers)Proceedings of the National Academy of Sciences (33 papers)Developmental Biology (28 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
William J. Lennarz
263 papers receiving 14.0k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cell Biology 3.7k
- Molecular Biology 10.3k
- Biotechnology 1.2k
- Physiology 614
- Biochemistry 696
Countries citing papers authored by William J. Lennarz
This map shows the geographic impact of William J. Lennarz'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 William J. Lennarz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Lennarz more than expected).
Fields of papers citing papers by William J. Lennarz
This network shows the impact of papers produced by William J. Lennarz. 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 William J. Lennarz. The network helps show where William J. Lennarz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William J. Lennarz, 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 | 2008 | 39 | |
| 2 | 2008 | 25 | |
| 3 | 2008 | 38 | |
| 4 | 2006 | 9 | |
| 5 | 2006 | 0 | |
| 6 | 2005 | 53 | |
| 7 | 2005 | 50 | |
| 8 | 2002 | 41 | |
| 9 | 2001 | 13 | |
| 10 | 2000 | 9 | |
| 11 | 1998 | 25 | |
| 12 | 1998 | 10 | |
| 13 | 1998 | 78 | |
| 14 | 1997 | 51 | |
| 15 | 1996 | 5 | |
| 16 | 1994 | 17 | |
| 17 | 1993 | 75 | |
| 18 | 1992 | 24 | |
| 19 | 1988 | 17 | |
| 20 | 1970 | 35 |
About William J. Lennarz
William J. Lennarz is a scholar working on Aquatic Science, Cell Biology and Biotechnology, having authored 265 papers that have together received 15.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (74 papers), Endoplasmic Reticulum Stress and Disease (42 papers), Carbohydrate Chemistry and Synthesis (27 papers), Marine and coastal plant biology (22 papers), Fungal and yeast genetics research (21 papers), Marine Biology and Environmental Chemistry (21 papers), Enzyme Production and Characterization (19 papers) and Echinoderm biology and ecology (18 papers). The work is most often cited by research in Cell Biology (3.7k citations), Molecular Biology (10.3k citations) and Biotechnology (1.2k citations). William J. Lennarz has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Charles J. Waechter, Robert Noiva, John A. Hanover, Tadashi Suzuki, Douglas K. Struck, Glenn L. Decker, Howard A. Kaplan, Hangil Park, Dorothy D. Pless and Hermann Schindelin. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Developmental Biology, Biochemical and Biophysical Research Communications and The Journal of Cell Biology.
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.