John A. Buglino
Impact in
- Molecular Biology top 10%
- Hedgehog Signaling Pathway Studies
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Protein Structure and Dynamics
- Biochemistry top 10%
Papers in
-
- Hedgehog Signaling Pathway Studies 4
- Epigenetics and DNA Methylation 3
- Biochemical and Molecular Research 3
- Genomics and Chromatin Dynamics 2
-
- Tuberculosis Research and Epidemiology 7
- Co-authors
- Marilyn D. Resh (4 shared papers)Christopher D. Lima (8 shared papers)Vincent K. Shen (2 shared papers)Kenolisa Onwueme (2 shared papers)Julián A. Ferreras (2 shared papers)Luis E. N. Quadri (2 shared papers)R. Kniewel (4 shared papers)Diego Alvarado (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)eLife (3 papers)Proceedings of the National Academy of Sciences (1 paper)Vitamins and hormones (1 paper)Nature Communications (1 paper)
- Partner nations
- United States
In The Last Decade
John A. Buglino
18 papers receiving 970 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 762
- Biochemistry 54
- Genetics 196
- Molecular Medicine 32
- Infectious Diseases 111
Countries citing papers authored by John A. Buglino
This map shows the geographic impact of John A. Buglino'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 A. Buglino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Buglino more than expected).
Fields of papers citing papers by John A. Buglino
This network shows the impact of papers produced by John A. Buglino. 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 A. Buglino. The network helps show where John A. Buglino may publish in the future.
Co-authors
The 25 scholars most cited alongside John A. Buglino, 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 | 201 | |
| 2 | 2002 | 153 | |
| 3 | 2002 | 135 | |
| 4 | 2006 | 96 | |
| 5 | 2004 | 79 | |
| 6 | 2006 | 60 | |
| 7 | 2004 | 56 | |
| 8 | 2010 | 47 | |
| 9 | 2012 | 41 | |
| 10 | 2005 | 29 | |
| 11 | 2021 | 21 | |
| 12 | 2002 | 18 | |
| 13 | 2022 | 18 | |
| 14 | 2002 | 15 | |
| 15 | 2022 | 12 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 |
About John A. Buglino
John A. Buglino is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Endocrinology and Materials Chemistry, having authored 18 papers that have together received 986 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Hedgehog Signaling Pathway Studies (4 papers), Epigenetics and DNA Methylation (3 papers), Mycobacterium research and diagnosis (3 papers), Biochemical and Molecular Research (3 papers), Enzyme Structure and Function (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Molecular Biology (762 citations), Biochemistry (54 citations), Genetics (196 citations), Molecular Medicine (32 citations) and Infectious Diseases (111 citations). John A. Buglino has collaborated with scholars based in United States. Frequent co-authors include Marilyn D. Resh, Christopher D. Lima, Vincent K. Shen, Kenolisa Onwueme, Julián A. Ferreras, Luis E. N. Quadri, R. Kniewel, Diego Alvarado, Grant Miura and Mark A. Lemmon. Their work appears in journals such as Journal of Biological Chemistry, eLife, Proceedings of the National Academy of Sciences, Vitamins and hormones and Nature Communications.
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.