José Cadena

3.5k citations
94 papers · 2.1k indexed · h-index 24

Impact in

Papers in

José Cadena

90 papers receiving 2.0k citations

Peers

José Cadena
Comparison fields: 5 of 158
  • Applied Microbiology and Biotechnology 105
  • Infectious Diseases 826
  • Clinical Biochemistry 159
  • Epidemiology 751
  • Microbiology 16
Replace Sanjay K. Jain with:
Sanjay K. Jain United States
Hitoshi Honda Japan
Elizabeth Reed United States
Cheng-Yi Liu China
Pinaki Biswas United States
Thomas J. Liesegang United States
Jonathan Ross United Kingdom
Philippe Descamps France
Harpreet Singh India
Chang‐Hua Chen Taiwan
José Cadena relative to Sanjay K. Jain United States Sanjay K. Jain's profile →
Citations per field
00.5×3.2×
Sanjay K. Jain · 1×
Citations per year

Countries citing papers authored by José Cadena

Since Specialization
Citations

This map shows the geographic impact of José Cadena'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 José Cadena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Cadena more than expected).

Fields of papers citing papers by José Cadena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Cadena. 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 José Cadena. The network helps show where José Cadena may publish in the future.

Co-authorship network

The 25 scholars most cited alongside José Cadena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with José Cadena Line = papers co-authored together José Cadena links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20231
4 20235
5 20222
6 20214
7 202120
8 20201
9 20201
10 201911
11 201811
12 201715
13 2012107
14
Pulmonary nocardiosis mimicking empyema necessitatis
20083
15
Autoeficacia, desesperanza aprendida e incapacidad funcional en pacientes con diagnóstico de artritis reumatoide
200519
16
Evaluación de la calidad de vida en pacientes con diagnóstico de artritis reumatoide
20054
17 20044
18
Relaciones entre variables sociodemográficas, incapacidad funcional, dolor y desesperanza aprendida en pacientes con diagnóstico de artritis reumatoide
200311
19 200366
20
Depresión y familia en pacientes con artritis reumatoidea
200211

About José Cadena

José Cadena is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Microbiology, Epidemiology and Modeling and Simulation, having authored 94 papers that have together received 2.1k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (11 papers), Complex Network Analysis Techniques (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Antifungal resistance and susceptibility (9 papers), Fungal Infections and Studies (8 papers), Tuberculosis Research and Epidemiology (7 papers), Rheumatoid Arthritis Research and Therapies (6 papers) and Mycobacterium research and diagnosis (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (105 citations), Infectious Diseases (826 citations), Clinical Biochemistry (159 citations), Epidemiology (751 citations) and Microbiology (16 citations). José Cadena has collaborated with scholars based in United States, Colombia and Spain. Frequent co-authors include George R. Thompson, Thomas F. Patterson, Juan‐Manuel Anaya, Luis Miguel Gómez, P Corréa, Jan E. Patterson, Anil Vullikanti, Aanand D. Naik, James S. Lewis and Larissa Grigoryan. Their work appears in journals such as Open Forum Infectious Diseases, Clinical Infectious Diseases, American Journal of Infection Control, Scientific Reports and Frontiers in Cellular Neuroscience.

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.

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