Inmaculada Esparza
- Immunology top 10%
- Molecular Biology
- Hematology top 10%
- Radiology, Nuclear Medicine and Imaging
- Epidemiology
- Co-authors
- Robert D. SchreiberJeremy H. BrockThomas KisselA. RuppelPH KrammerWerner FalkDaniela N. MännelJ. C. González
- Topics
- Monoclonal and Polyclonal Antibodies Research (5 papers)Iron Metabolism and Disorders (4 papers)Blood groups and transfusion (4 papers)
- Journals
- Journal of Clinical InvestigationThe Journal of Experimental MedicineThe Journal of Immunology
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Inmaculada Esparza
19 papers receiving 685 citations
Peers
Comparison fields: 5 of 81
- Immunology 320
- Molecular Biology 187
- Hematology 144
- Radiology, Nuclear Medicine and Imaging 88
- Epidemiology 84
Countries citing papers authored by Inmaculada Esparza
This map shows the geographic impact of Inmaculada Esparza'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 Inmaculada Esparza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inmaculada Esparza more than expected).
Fields of papers citing papers by Inmaculada Esparza
This network shows the impact of papers produced by Inmaculada Esparza. 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 Inmaculada Esparza. The network helps show where Inmaculada Esparza may publish in the future.
Co-authorship network of co-authors of Inmaculada Esparza
This figure shows the co-authorship network connecting the top 25 collaborators of Inmaculada Esparza. A scholar is included among the top collaborators of Inmaculada Esparza 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 Inmaculada Esparza. Inmaculada Esparza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 103 | |
| 2 | 32 | |
| 3 | 48 | |
| 4 | 33 | |
| 5 | 36 | |
| 6 | 8 | |
| 7 | 55 | |
| 8 | INTERFERON-Y (IFN-Y) AND LYMPHOTOXIN (LT) OR TUMOR-NECROSIS-FACTOR (TNF) SYNERGIZE TO ACTIVATE MACROPHAGES FOR TUMORICIDAL AND SCHISTOSOMULICIDAL FUNCTIONS | 2 |
| 9 | 120 | |
| 10 | 45 | |
| 11 | 80 | |
| 12 | 23 | |
| 13 | 30 | |
| 14 | 52 | |
| 15 | 10 | |
| 16 | 7 | |
| 17 | 24 | |
| 18 | 13 | |
| 19 | 1 |
About Inmaculada Esparza
Inmaculada Esparza is a scholar working on Hematology, Parasitology and Genetics, having authored 19 papers that have together received 722 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Iron Metabolism and Disorders (4 papers) and Blood groups and transfusion (4 papers). The work is most often cited by research in Immunology (320 citations), Hematology (144 citations) and Pharmaceutical Science (66 citations). Inmaculada Esparza has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Robert D. Schreiber, Jeremy H. Brock, Thomas Kissel, A. Ruppel, PH Krammer, Werner Falk, Daniela N. Männel, J. C. González, Eladio Viñuela and J. David Becherer. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Immunology.
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.