David Knigin
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
Papers in
- Surgery 5
- Anesthesia and Pain Management 3
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- Maternal and Perinatal Health Interventions 1
- Co-authors
- Eli Pikarsky (2 shared papers)Kilangsungla Yanger (1 shared paper)Ben Z. Stanger (1 shared paper)Yiwei Zong (1 shared paper)Haruhiko Akiyama (1 shared paper)Guoqiang Gu (1 shared paper)Carolyn F. Weiniger (3 shared papers)Alexander Avidan (3 shared papers)
- Journals
- Hepatology (1 paper)American Journal of Obstetrics and Gynecology (1 paper)Cell stem cell (1 paper)Anesthesia & Analgesia (1 paper)The Journal of Maternal-Fetal & Neonatal Medicine (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
David Knigin
7 papers receiving 435 citations
David Knigin's Hit Papers
Peers
Comparison fields: 5 of 44
- Hepatology 229
- Clinical Biochemistry 40
- Surgery 210
- Epidemiology 99
- Cell Biology 34
Countries citing papers authored by David Knigin
This map shows the geographic impact of David Knigin'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 David Knigin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Knigin more than expected).
Fields of papers citing papers by David Knigin
This network shows the impact of papers produced by David Knigin. 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 David Knigin. The network helps show where David Knigin may publish in the future.
Co-authors
The 25 scholars most cited alongside David Knigin, 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 | Adult Hepatocytes Are Generated by Self-Duplication Rather than Stem Cell Differentiation Hit paper breakdown → | 2014 | 324 |
| 2 | 2013 | 77 | |
| 3 | 2020 | 19 | |
| 4 | 2021 | 13 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 2 | |
| 7 | 2019 | 1 | |
| 8 | 2014 | 0 |
About David Knigin
David Knigin is a scholar working on Surgery, Obstetrics and Gynecology, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 438 indexed citations. Recurring topics across this work include Anesthesia and Pain Management (3 papers), Maternal and fetal healthcare (1 paper), Advanced Glycation End Products research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Global Maternal and Child Health (1 paper), Maternal and Perinatal Health Interventions (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Hepatology (229 citations), Clinical Biochemistry (40 citations), Surgery (210 citations), Epidemiology (99 citations) and Cell Biology (34 citations). David Knigin has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Eli Pikarsky, Kilangsungla Yanger, Ben Z. Stanger, Yiwei Zong, Haruhiko Akiyama, Guoqiang Gu, Carolyn F. Weiniger, Alexander Avidan, Jochen Heß and Silke Marhenke. Their work appears in journals such as Hepatology, American Journal of Obstetrics and Gynecology, Cell stem cell, Anesthesia & Analgesia and The Journal of Maternal-Fetal & Neonatal Medicine.
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.