John H. Hauman
About
In The Last Decade
John H. Hauman
8 papers receiving 297 citations
Peers
Comparison fields: 5 of 50
- Infectious Diseases 257
- Epidemiology 235
- Surgery 123
- Molecular Biology 23
- Immunology 16
Countries citing papers authored by John H. Hauman
This map shows the geographic impact of John H. Hauman'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 H. Hauman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John H. Hauman more than expected).
Fields of papers citing papers by John H. Hauman
This network shows the impact of papers produced by John H. Hauman. 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 H. Hauman. The network helps show where John H. Hauman may publish in the future.
Co-authorship network of co-authors of John H. Hauman
This figure shows the co-authorship network connecting the top 25 collaborators of John H. Hauman. A scholar is included among the top collaborators of John H. Hauman 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 H. Hauman. John H. Hauman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 85 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 48 | |
| 6 | The use of a geographical information system (GIS) to evaluate the distribution of tuberculosis in a high-incidence community. | 75 |
| 7 | Unexpectedly high strain diversity of Mycobacterium tuberculosis in a high-incidence community. | 58 |
| 8 | 8 |
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.