John Nechtman
Impact in
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Hematology top 10%
- Iron Metabolism and Disorders
Papers in
- Genetics 7
- Hemoglobinopathies and Related Disorders 5
- Glioma Diagnosis and Treatment 2
- Forensic and Genetic Research 1
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- Iron Metabolism and Disorders 5
- Co-authors
- Jie Shen (1 shared paper)Peter Atadja (1 shared paper)Warren Fiskus (1 shared paper)Kapil N. Bhalla (1 shared paper)Yun Tang (1 shared paper)Yonghua Yang (1 shared paper)T. A. Stoming (5 shared papers)Marilda de Souza Gonçalves (2 shared papers)
- Journals
- Physiological Genomics (2 papers)Cancers (1 paper)British Journal of Haematology (1 paper)Scientific Reports (1 paper)Investigative Ophthalmology & Visual Science (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
John Nechtman
14 papers receiving 391 citations
Peers
Comparison fields: 5 of 63
- Genetics 120
- Hematology 104
- Molecular Biology 220
- Cell Biology 40
- Cancer Research 27
Countries citing papers authored by John Nechtman
This map shows the geographic impact of John Nechtman'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 John Nechtman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Nechtman more than expected).
Fields of papers citing papers by John Nechtman
This network shows the impact of papers produced by John Nechtman. 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 John Nechtman. The network helps show where John Nechtman may publish in the future.
Co-authors
The 25 scholars most cited alongside John Nechtman, 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 | 187 | |
| 2 | 2009 | 44 | |
| 3 | 1992 | 42 | |
| 4 | 1994 | 39 | |
| 5 | 1994 | 24 | |
| 6 | 2010 | 14 | |
| 7 | 1998 | 13 | |
| 8 | 1993 | 10 | |
| 9 | 2020 | 8 | |
| 10 | 1994 | 6 | |
| 11 | 2003 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2021 | 2 | |
| 14 | DNA Microarray Analysis of Mouse Contralateral Eye Following HSV-1 Anterior Chamber Inoculation | 2002 | 1 |
About John Nechtman
John Nechtman is a scholar working on Genetics, Hematology, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 14 papers that have together received 399 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (5 papers), Iron Metabolism and Disorders (5 papers), Pulmonary Hypertension Research and Treatments (2 papers), Cancer-related molecular mechanisms research (2 papers), Herpesvirus Infections and Treatments (2 papers), Glioma Diagnosis and Treatment (2 papers), Forensic and Genetic Research (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Genetics (120 citations), Hematology (104 citations), Molecular Biology (220 citations), Cell Biology (40 citations) and Cancer Research (27 citations). John Nechtman has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jie Shen, Peter Atadja, Warren Fiskus, Kapil N. Bhalla, Yun Tang, Yonghua Yang, T. A. Stoming, Marilda de Souza Gonçalves, María de Fátima Sonati and F. F. Costa. Their work appears in journals such as Physiological Genomics, Cancers, British Journal of Haematology, Scientific Reports and Investigative Ophthalmology & Visual Science.
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.