Javier A. Adachi
- Infectious Diseases top 1%
- Epidemiology top 5%
- Public Health, Environmental and Occupational Health top 2%
- Molecular Medicine top 1%
- Endocrinology top 1%
- Co-authors
- Herbert L. DuPontCharles D. EricssonJohn J. MathewsonRoy F. ChemalyIssam RaadZhi‐Dong JiangFrancisco Martinez‐SandovalRobert Steffen
- Topics
- Bacterial Identification and Susceptibility Testing (15 papers)Antimicrobial Resistance in Staphylococcus (11 papers)Clostridium difficile and Clostridium perfringens research (11 papers)
- Partner nations
- United StatesColombiaMexico
In The Last Decade
Javier A. Adachi
65 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 122
- Infectious Diseases 1.2k
- Epidemiology 641
- Public Health, Environmental and Occupational Health 609
- Molecular Medicine 447
- Endocrinology 426
Countries citing papers authored by Javier A. Adachi
This map shows the geographic impact of Javier A. Adachi'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 Javier A. Adachi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier A. Adachi more than expected).
Fields of papers citing papers by Javier A. Adachi
This network shows the impact of papers produced by Javier A. Adachi. 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 Javier A. Adachi. The network helps show where Javier A. Adachi may publish in the future.
Co-authorship network of co-authors of Javier A. Adachi
This figure shows the co-authorship network connecting the top 25 collaborators of Javier A. Adachi. A scholar is included among the top collaborators of Javier A. Adachi 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 Javier A. Adachi. Javier A. Adachi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 31 | |
| 4 | 32 | |
| 5 | 41 | |
| 6 | 19 | |
| 7 | 17 | |
| 8 | 93 | |
| 9 | 16 | |
| 10 | 56 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 31 | |
| 16 | 154 | |
| 17 | 43 | |
| 18 | 46 | |
| 19 | 25 | |
| 20 | SENSIBILIDAD ANTIMICROBIANA IN VITRO DE CEPAS DE BRUCELLA MELITENSIS AISLADAS EN UNA AREA ENDEMICA (LIMA, PERU) | 1 |
About Javier A. Adachi
Javier A. Adachi is a scholar working on Microbiology, Clinical Biochemistry and Endocrinology, having authored 68 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (15 papers), Antimicrobial Resistance in Staphylococcus (11 papers) and Clostridium difficile and Clostridium perfringens research (11 papers). The work is most often cited by research in Molecular Medicine (447 citations), Endocrinology (426 citations) and Infectious Diseases (1.2k citations). Javier A. Adachi has collaborated with scholars based in United States, Colombia and Mexico. Frequent co-authors include Herbert L. DuPont, Charles D. Ericsson, John J. Mathewson, Roy F. Chemaly, Issam Raad, Zhi‐Dong Jiang, Francisco Martinez‐Sandoval, Robert Steffen, Margaret W. DuPont and Robert A. Bonomo. Their work appears in journals such as Journal of Clinical Oncology, Blood and Annals of Internal 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.