Javier Mora

2.9k citations
60 papers · 1.9k indexed · 1 hit paper · h-index 23

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Phagocytosis and Immune Regulation
  • Neurology top 5%
    • Long-Term Effects of COVID-19

Papers in

Javier Mora

59 papers receiving 1.8k citations

Hit Papers

Persistence of SARS CoV-2 S1 Protein in CD16+ Monocytes in Post-Acute Sequelae of COVID-19 (PASC) up to 15 Months Post-Infection 2022 · 154 citations
154202220262023202450100150

Peers

Javier Mora
Comparison fields: 5 of 121
  • Immunology 766
  • Neurology 229
  • Cancer Research 195
  • Dermatology 110
  • Infectious Diseases 221
Replace Sylvia Miescher with:
Sylvia Miescher Switzerland
Wayne A. Schroder Australia
Michael A. Mandell United States
Hongjian Jin United States
Maria Foti Italy
Philip A. Robinson United Kingdom
Ramakrishna Sompallae United States
Fang Liao Taiwan
Jonas C. Schupp United States
N Kondo Japan
Javier Mora relative to Sylvia Miescher Switzerland Sylvia Miescher's profile →
Citations per field
00.5×3.9×
Sylvia Miescher · 1×
Citations per year

Countries citing papers authored by Javier Mora

Since Specialization
Citations

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

Fields of papers citing papers by Javier Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Javier Mora, 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 Javier Mora Line = papers co-authored together Javier Mora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20241
3 20241
4 20243
5 20232
6 20232
7 20231
8
Persistence of SARS CoV-2 S1 Protein in CD16+ Monocytes in Post-Acute Sequelae of COVID-19 (PASC) up to 15 Months Post-Infection
Hit paper breakdown →
2022154
9 202216
10 202227
11 20228
12 202115
13 202034
14 20183
15 20174
16 2017208
17 201229
18 201212
19 200844
20 200727

About Javier Mora

Javier Mora is a scholar working on Immunology, Health Informatics, Endocrinology, Ecology and Genetics, having authored 60 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (10 papers), Photosynthetic Processes and Mechanisms (8 papers), Immune cells in cancer (7 papers), Protist diversity and phylogeny (6 papers), Immune Cell Function and Interaction (6 papers), Bacteriophages and microbial interactions (5 papers), Parasite Biology and Host Interactions (5 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Immunology (766 citations), Neurology (229 citations), Cancer Research (195 citations), Dermatology (110 citations) and Infectious Diseases (221 citations). Javier Mora has collaborated with scholars based in Mexico, Costa Rica and Germany. Frequent co-authors include Andreas Weigert, Bernhard Brüne, Nathalie Dehne, Michaela Jung, Dmitry Namgaladze, Georges Dreyfus, Rodrígo Mora, Xiang Zheng, Werner Seeger and Rajkumar Savai. Their work appears in journals such as Journal of Bacteriology, PeerJ, Biological Chemistry, Frontiers in Immunology and Pathogens.

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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