Lewin Eisele
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Hematology top 5%
Papers in
- Genetics 14
- Chronic Lymphocytic Leukemia Research 13
- Hematology 13
- Multiple Myeloma Research and Treatments 4
- Iron Metabolism and Disorders 4
- Co-authors
- Karl‐Heinz Jöckel (23 shared papers)Raimund Erbel (11 shared papers)Patrick Ziegler (1 shared paper)Tim H. Brümmendorf (1 shared paper)Fabian Beier (1 shared paper)Wolfgang Wagner (1 shared paper)Dirk Bauerschlag (1 shared paper)Thomas W. Mühleisen (1 shared paper)
- Journals
- Blood (5 papers)Annals of Hematology (5 papers)European Journal Of Haematology (3 papers)PLoS ONE (3 papers)Chronobiology International (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Lewin Eisele
55 papers receiving 1.8k citations
Lewin Eisele's Hit Papers
Peers
Comparison fields: 5 of 123
- Aging 82
- Hematology 190
- Genetics 172
- Endocrine and Autonomic Systems 104
- Health, Toxicology and Mutagenesis 218
Countries citing papers authored by Lewin Eisele
This map shows the geographic impact of Lewin Eisele'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 Lewin Eisele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lewin Eisele more than expected).
Fields of papers citing papers by Lewin Eisele
This network shows the impact of papers produced by Lewin Eisele. 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 Lewin Eisele. The network helps show where Lewin Eisele may publish in the future.
Co-authors
The 25 scholars most cited alongside Lewin Eisele, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Aging of blood can be tracked by DNA methylation changes at just three CpG sites Hit paper breakdown → | 2014 | 689 |
| 2 | 2015 | 125 | |
| 3 | 2016 | 88 | |
| 4 | 2017 | 58 | |
| 5 | 2011 | 53 | |
| 6 | 2008 | 52 | |
| 7 | 2012 | 43 | |
| 8 | 2009 | 41 | |
| 9 | 2013 | 38 | |
| 10 | 2006 | 38 | |
| 11 | 2016 | 35 | |
| 12 | 2012 | 35 | |
| 13 | 2013 | 32 | |
| 14 | 2016 | 31 | |
| 15 | 2017 | 29 | |
| 16 | 2013 | 29 | |
| 17 | 2010 | 27 | |
| 18 | 2015 | 27 | |
| 19 | 2015 | 26 | |
| 20 | 2017 | 22 |
About Lewin Eisele
Lewin Eisele is a scholar working on Genetics, Hematology, Molecular Biology, Immunology and Pathology and Forensic Medicine, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (13 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Immune Cell Function and Interaction (5 papers), Epigenetics and DNA Methylation (4 papers), Multiple Myeloma Research and Treatments (4 papers), Iron Metabolism and Disorders (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Aging (82 citations), Hematology (190 citations), Genetics (172 citations), Endocrine and Autonomic Systems (104 citations) and Health, Toxicology and Mutagenesis (218 citations). Lewin Eisele has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Karl‐Heinz Jöckel, Raimund Erbel, Patrick Ziegler, Tim H. Brümmendorf, Fabian Beier, Wolfgang Wagner, Dirk Bauerschlag, Thomas W. Mühleisen, Carola I. Weidner and Qiong Lin. Their work appears in journals such as Blood, Annals of Hematology, European Journal Of Haematology, PLoS ONE and Chronobiology International.
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.