Diana M. Lopez
- Immunology top 2%
- Oncology top 5%
- Molecular Biology
- Cancer Research top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Dan IlkovitchYang‐Xin FuGordon A. WatsonLynn M. HerbertM. Michael SigelVijaya Iragavarapu‐CharyuluJoaquín J. JiménezEduardo M. Sotomayor
- Topics
- Immunotherapy and Immune Responses (36 papers)Immune Cell Function and Interaction (19 papers)Immune cells in cancer (13 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United StatesFranceIsrael
In The Last Decade
Diana M. Lopez
78 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 104
- Immunology 1.3k
- Oncology 716
- Molecular Biology 612
- Cancer Research 212
- Radiology, Nuclear Medicine and Imaging 127
Countries citing papers authored by Diana M. Lopez
This map shows the geographic impact of Diana M. Lopez'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 Diana M. Lopez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana M. Lopez more than expected).
Fields of papers citing papers by Diana M. Lopez
This network shows the impact of papers produced by Diana M. Lopez. 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 Diana M. Lopez. The network helps show where Diana M. Lopez may publish in the future.
Co-authorship network of co-authors of Diana M. Lopez
This figure shows the co-authorship network connecting the top 25 collaborators of Diana M. Lopez. A scholar is included among the top collaborators of Diana M. Lopez 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 Diana M. Lopez. Diana M. Lopez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 17 | |
| 8 | 18 | |
| 9 | 28 | |
| 10 | 20 | |
| 11 | Mammary tumor-derived. TGF-β impairs crucial innate immune responses in tumor hosts | 5 |
| 12 | 72 | |
| 13 | 40 | |
| 14 | 156 | |
| 15 | 49 | |
| 16 | 68 | |
| 17 | 32 | |
| 18 | Maximizing differences in the concanavalin A-induced blastogenic responses of lymphocytes from breast cancer patients and controls by the use of alpha-methyl-D-mannoside. | 0 |
| 19 | High incidence of mammary tumors in mice with inherited asplenia carriers for the nude gene. | 2 |
| 20 | Characterization of prostate carcinoma lines in the Copenhagen rat. | 6 |
About Diana M. Lopez
Diana M. Lopez is a scholar working on Immunology, Oncology and Psychiatry and Mental health, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (36 papers), Immune Cell Function and Interaction (19 papers) and Immune cells in cancer (13 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (716 citations) and Cancer Research (212 citations). Diana M. Lopez has collaborated with scholars based in United States, France and Israel. Frequent co-authors include Dan Ilkovitch, Yang‐Xin Fu, Gordon A. Watson, Lynn M. Herbert, M. Michael Sigel, Vijaya Iragavarapu‐Charyulu, Joaquín J. Jiménez, Eduardo M. Sotomayor, Jennifer L. Owen and Yan Wang. Their work appears in journals such as Nucleic Acids Research, The Journal of Experimental Medicine and Blood.
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.