John B. Hibbs
- Physiology top 0.1%
- Immunology top 0.5%
- Molecular Biology top 2%
- Biochemistry top 0.05%
- Epidemiology top 2%
- Co-authors
- Read R. TaintorZdenek VavrinCarl NathanElliot M. RachlinDonald L. GrangerHarold A. ChapmanJack R. LancasterJean‐Claude Drapier
- Topics
- Nitric Oxide and Endothelin Effects (21 papers)Immune cells in cancer (16 papers)Cancer Research and Treatments (11 papers)
- Cited by
- BiochemistryPhysiologyImmunology
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
John B. Hibbs
78 papers receiving 13.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Physiology 5.8k
- Immunology 3.7k
- Molecular Biology 3.3k
- Biochemistry 2.1k
- Epidemiology 1.6k
Countries citing papers authored by John B. Hibbs
This map shows the geographic impact of John B. Hibbs'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 B. Hibbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John B. Hibbs more than expected).
Fields of papers citing papers by John B. Hibbs
This network shows the impact of papers produced by John B. Hibbs. 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 B. Hibbs. The network helps show where John B. Hibbs may publish in the future.
Co-authorship network of co-authors of John B. Hibbs
This figure shows the co-authorship network connecting the top 25 collaborators of John B. Hibbs. A scholar is included among the top collaborators of John B. Hibbs 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 John B. Hibbs. John B. Hibbs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 119 | |
| 3 | 23 | |
| 4 | 11 | |
| 5 | 446 | |
| 6 | 63 | |
| 7 | 9 | |
| 8 | 35 | |
| 9 | 132 | |
| 10 | 131 | |
| 11 | 311 | |
| 12 | 61 | |
| 13 | Activated macrophages destroy intracellular Leishmania major amastigotes by an L-arginine-dependent killing mechanism.breakdown → | 597 |
| 14 | Differentiation of murine macrophages to express nonspecific cytotoxicity for tumor cells results in L-arginine-dependent inhibition of mitochondrial iron-sulfur enzymes in the macrophage effector cells.breakdown → | 509 |
| 15 | 447 | |
| 16 | 279 | |
| 17 | Nitric oxide: A cytotoxic activated macrophage effector moleculebreakdown → | 1692 |
| 18 | Target cell iron depletion possible cause of tumor cell cytotoxicity induced by activated macrophages | 1 |
| 19 | 22 | |
| 20 | 203 |
About John B. Hibbs
John B. Hibbs is a scholar working on Biotechnology, Immunology and Biochemistry, having authored 79 papers that have together received 14.1k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (21 papers), Immune cells in cancer (16 papers) and Cancer Research and Treatments (11 papers). The work is most often cited by research in Biochemistry (2.1k citations), Physiology (5.8k citations) and Immunology (3.7k citations). John B. Hibbs has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Read R. Taintor, Zdenek Vavrin, Carl Nathan, Elliot M. Rachlin, Donald L. Granger, Harold A. Chapman, Jack R. Lancaster, Jean‐Claude Drapier, Jack S. Remington and Jason B. Weinberg. Their work appears in journals such as Nature, Science and Cell.
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.