Diana M. Lopez

2.4k citations
82 papers · 2.0k indexed · h-index 24

Diana M. Lopez

78 papers receiving 2.0k citations

Peers

Diana M. Lopez
Comparison fields: 5 of 104
  • Immunology 1.3k
  • Oncology 716
  • Cancer Research 212
  • Immunology and Allergy 63
  • Molecular Biology 612
Replace M Alexander with:
M Alexander United States
Victor Umansky Germany
G. H. Heppner United States
Hanna Rokita Poland
Patrick Legembre France
Anne Quillet‐Mary France
Juan P. Cerliani Argentina
Annick Verhee Belgium
Shinzo Nishi Japan
Antoine Tinel Switzerland
Diana M. Lopez relative to M Alexander United States M Alexander's profile →
Citations per field
00.5×10.6×
M Alexander · 1×
Citations per year

Countries citing papers authored by Diana M. Lopez

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20231
4 202113
5 20190
6 201513
7 201317
8 200918
9 200528
10 200420
11
Mammary tumor-derived. TGF-β impairs crucial innate immune responses in tumor hosts
20035
12 200372
13 200040
14 1996156
15 199549
16 199468
17 199132
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.
19820
19
High incidence of mammary tumors in mice with inherited asplenia carriers for the nude gene.
19792
20
Characterization of prostate carcinoma lines in the Copenhagen rat.
19786

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), Immune cells in cancer (13 papers), T-cell and B-cell Immunology (13 papers), Virus-based gene therapy research (11 papers), Cancer, Stress, Anesthesia, and Immune Response (9 papers), Chemokine receptors and signaling (8 papers) and Cancer Cells and Metastasis (7 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.

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