Arthur M. Dannenberg
- Infectious Diseases top 0.5%
- Epidemiology top 2%
- Immunology top 2%
- Surgery top 5%
- Molecular Biology top 10%
- Co-authors
- Max B. LurieKiyoshi ShimaFrank M. CollinsM. Louise M. PittBrian SchofieldYasuharu AbeRalph SnydermanHyun S. Shin
- Topics
- Tuberculosis Research and Epidemiology (33 papers)Mycobacterium research and diagnosis (15 papers)Macrophage Migration Inhibitory Factor (13 papers)
- Partner nations
- United StatesMaliUnited Kingdom
In The Last Decade
Arthur M. Dannenberg
114 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 127
- Infectious Diseases 1.7k
- Epidemiology 1.5k
- Immunology 1.1k
- Surgery 805
- Molecular Biology 796
Countries citing papers authored by Arthur M. Dannenberg
This map shows the geographic impact of Arthur M. Dannenberg'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 Arthur M. Dannenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur M. Dannenberg more than expected).
Fields of papers citing papers by Arthur M. Dannenberg
This network shows the impact of papers produced by Arthur M. Dannenberg. 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 Arthur M. Dannenberg. The network helps show where Arthur M. Dannenberg may publish in the future.
Co-authorship network of co-authors of Arthur M. Dannenberg
This figure shows the co-authorship network connecting the top 25 collaborators of Arthur M. Dannenberg. A scholar is included among the top collaborators of Arthur M. Dannenberg 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 Arthur M. Dannenberg. Arthur M. Dannenberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 18 | |
| 3 | 9 | |
| 4 | 33 | |
| 5 | 17 | |
| 6 | 18 | |
| 7 | 27 | |
| 8 | 62 | |
| 9 | 88 | |
| 10 | 84 | |
| 11 | 108 | |
| 12 | 41 | |
| 13 | 9 | |
| 14 | 135 | |
| 15 | 40 | |
| 16 | 6 | |
| 17 | 16 | |
| 18 | 6 | |
| 19 | A histochemical study of phagocytic and enzymatic functions of rabbit mononuclear and polymorphonuclear exudate cells and alveolar macrophages. II. The effect of particle ingestion on enzyme activity; two phases of in vitro activation | 8 |
| 20 | 42 |
About Arthur M. Dannenberg
Arthur M. Dannenberg is a scholar working on Immunology, Infectious Diseases and Small Animals, having authored 114 papers that have together received 4.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (33 papers), Mycobacterium research and diagnosis (15 papers) and Macrophage Migration Inhibitory Factor (13 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Immunology (1.1k citations) and Epidemiology (1.5k citations). Arthur M. Dannenberg has collaborated with scholars based in United States, Mali and United Kingdom. Frequent co-authors include Max B. Lurie, Kiyoshi Shima, Frank M. Collins, M. Louise M. Pitt, Brian Schofield, Yasuharu Abe, Ralph Snyderman, Hyun S. Shin, Peter Zappasodi and Emil L. Smith. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.