Douglas J. Loftus

1.8k total citations
20 papers, 1.4k citations indexed

About

Douglas J. Loftus is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Douglas J. Loftus has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 8 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Douglas J. Loftus's work include Immunotherapy and Immune Responses (14 papers), T-cell and B-cell Immunology (12 papers) and Immune Cell Function and Interaction (8 papers). Douglas J. Loftus is often cited by papers focused on Immunotherapy and Immune Responses (14 papers), T-cell and B-cell Immunology (12 papers) and Immune Cell Function and Interaction (8 papers). Douglas J. Loftus collaborates with scholars based in United States, Italy and Denmark. Douglas J. Loftus's co-authors include Ettore Appella, Yongfeng Li, Mona El‐Gamil, Steven A. Rosenberg, Yutaka Kawakami, Paul F. Robbins, Licia Rivoltini, Chiara Castelli, Giorgio Parmiani and Albert B. DeLeo and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

Douglas J. Loftus

19 papers receiving 1.4k citations

Peers

Douglas J. Loftus
Comparison fields: 5 of 70
  • Immunology 1.2k
  • Molecular Biology 593
  • Oncology 520
  • Radiology, Nuclear Medicine and Imaging 152
  • Genetics 104
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Citations per field, relative to Douglas J. Loftus
Douglas J. Loftus · 1×
Citations per year, relative to Douglas J. Loftus
Douglas J. Loftus · 1×

Countries citing papers authored by Douglas J. Loftus

Since Specialization
Citations

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

Fields of papers citing papers by Douglas J. Loftus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas J. Loftus. 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 Douglas J. Loftus. The network helps show where Douglas J. Loftus may publish in the future.

Co-authorship network of co-authors of Douglas J. Loftus

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas J. Loftus. A scholar is included among the top collaborators of Douglas J. Loftus 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 Douglas J. Loftus. Douglas J. Loftus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 38
3 51
4 20
5 4
6
A superagonist variant of peptide MART1/Melan A27-35 elicits anti-melanoma CD8+ T cells with enhanced functional characteristics: implication for more effective immunotherapy.
80
7 72
8 95
9 26
10
Peptides derived from self-proteins as partial agonists and antagonists of human CD8+ T-cell clones reactive to melanoma/melanocyte epitope MART1(27-35).
59
11 33
12
Functional and structural issues related to epitope cross-recognition by T cells.
1
13 438
14 6
15 204
16 154
17 66
18 40
19 3
20 37

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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