L.N. Daniel
Impact in
-
- Cancer, Hypoxia, and Metabolism
- Carcinogens and Genotoxicity Assessment
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Genetics 4
- Chronic Lymphocytic Leukemia Research 4
- Estrogen and related hormone effects 1
-
- Cancer Genomics and Diagnostics 1
- Co-authors
- Umberto Saffiotti (6 shared papers)Xianglin Shi (2 shared papers)Noel F. Whittaker (1 shared paper)Val Vallyathan (2 shared papers)Paul Lebowitz (3 shared papers)AD Elias (2 shared papers)N.S. Dalal (1 shared paper)Michael I. Lerman (7 shared papers)
- Journals
- Nucleic Acids Research (6 papers)Environmental Health Perspectives (3 papers)Blood (2 papers)Toxicology and Applied Pharmacology (1 paper)Human Genetics (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
L.N. Daniel
18 papers receiving 525 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 121
- Genetics 89
- Hematology 86
- Pulmonary and Respiratory Medicine 143
- Health, Toxicology and Mutagenesis 60
Countries citing papers authored by L.N. Daniel
This map shows the geographic impact of L.N. Daniel'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 L.N. Daniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.N. Daniel more than expected).
Fields of papers citing papers by L.N. Daniel
This network shows the impact of papers produced by L.N. Daniel. 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 L.N. Daniel. The network helps show where L.N. Daniel may publish in the future.
Co-authors
The 25 scholars most cited alongside L.N. Daniel, 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 | 1989 | 103 | |
| 2 | 1994 | 86 | |
| 3 | 1994 | 75 | |
| 4 | 1995 | 49 | |
| 5 | 1990 | 46 | |
| 6 | 1994 | 44 | |
| 7 | 1991 | 43 | |
| 8 | 1990 | 38 | |
| 9 | Direct interaction between crystalline silica and DNA - a proposed model for silica carcinogenesis. | 1995 | 32 |
| 10 | 1993 | 14 | |
| 11 | Polymorphism of the human c-abl gene: relation to incidence and course of chronic myelogenous leukemia. | 1987 | 5 |
| 12 | 1990 | 5 | |
| 13 | 2015 | 4 | |
| 14 | 1990 | 2 | |
| 15 | 1990 | 2 | |
| 16 | 1990 | 1 | |
| 17 | 1990 | 1 | |
| 18 | 1990 | 1 |
About L.N. Daniel
L.N. Daniel is a scholar working on Genetics, Cancer Research, Hematology, Rheumatology and Spectroscopy, having authored 18 papers that have together received 551 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), DNA and Nucleic Acid Chemistry (2 papers), Prostate Cancer Treatment and Research (1 paper), Glycosylation and Glycoproteins Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Analytical Chemistry and Chromatography (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Cancer Research (121 citations), Genetics (89 citations), Hematology (86 citations), Pulmonary and Respiratory Medicine (143 citations) and Health, Toxicology and Mutagenesis (60 citations). L.N. Daniel has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Umberto Saffiotti, Xianglin Shi, Noel F. Whittaker, Val Vallyathan, Paul Lebowitz, AD Elias, N.S. Dalal, Michael I. Lerman, Tomohiro Yano and R. V. Larocca. Their work appears in journals such as Nucleic Acids Research, Environmental Health Perspectives, Blood, Toxicology and Applied Pharmacology and Human Genetics.
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.