Nathaniel I. Berlin
- Genetics top 0.5%
- Molecular Biology top 5%
- Hematology top 1%
- Pediatrics, Perinatology and Child Health top 1%
- Physiology top 5%
- Co-authors
- John H. LawrenceMartin J. ClineJoseph R. BloomerPaul D. BerkRobert B. HoweLouis R. WassermanP D BerkJudith D. Goldberg
- Topics
- Erythrocyte Function and Pathophysiology (27 papers)Neonatal Health and Biochemistry (19 papers)Heme Oxygenase-1 and Carbon Monoxide (16 papers)
- Partner nations
- United StatesMalaysiaUnited Kingdom
In The Last Decade
Nathaniel I. Berlin
127 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Genetics 1.5k
- Molecular Biology 1.3k
- Hematology 1.1k
- Pediatrics, Perinatology and Child Health 809
- Physiology 697
Countries citing papers authored by Nathaniel I. Berlin
This map shows the geographic impact of Nathaniel I. Berlin'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 Nathaniel I. Berlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel I. Berlin more than expected).
Fields of papers citing papers by Nathaniel I. Berlin
This network shows the impact of papers produced by Nathaniel I. Berlin. 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 Nathaniel I. Berlin. The network helps show where Nathaniel I. Berlin may publish in the future.
Co-authorship network of co-authors of Nathaniel I. Berlin
This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel I. Berlin. A scholar is included among the top collaborators of Nathaniel I. Berlin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nathaniel I. Berlin. Nathaniel I. Berlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The National Cancer Institute Cooperative Early Lung Cancer Detection Program: Results of the Initial Screen (Prevalence) | 1 |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 25 | |
| 6 | 16 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | Recommended Method for Radioisotope Red-Cell Survival Studies | 34 |
| 10 | 4 | |
| 11 | 119 | |
| 12 | 56 | |
| 13 | 69 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 34 | |
| 17 | 7 | |
| 18 | 6 | |
| 19 | Relative polycythemia; the polycythemia of stress. | 80 |
| 20 | 99 |
About Nathaniel I. Berlin
Nathaniel I. Berlin is a scholar working on Genetics, Hematology and Physiology, having authored 131 papers that have together received 4.0k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (27 papers), Neonatal Health and Biochemistry (19 papers) and Heme Oxygenase-1 and Carbon Monoxide (16 papers). The work is most often cited by research in Genetics (1.5k citations), Hematology (1.1k citations) and Pediatrics, Perinatology and Child Health (809 citations). Nathaniel I. Berlin has collaborated with scholars based in United States, Malaysia and United Kingdom. Frequent co-authors include John H. Lawrence, Martin J. Cline, Joseph R. Bloomer, Paul D. Berk, Robert B. Howe, Louis R. Wasserman, P D Berk, Judith D. Goldberg, Steven Fruchtman and Paul B. Donovan. Their work appears in journals such as Science, New England Journal of Medicine and JAMA.
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.