Denis L. Jardim

3.2k citations
63 papers · 2.0k indexed · 1 hit paper · h-index 21

Denis L. Jardim

60 papers receiving 2.0k citations

Hit Papers

The Challenges of Tumor Mutational Burden as an Immunothe...7462020202620222024200400600

Peers

Denis L. Jardim
Comparison fields: 5 of 105
  • Cancer Research 619
  • Oncology 1.1k
  • Pulmonary and Respiratory Medicine 671
  • Hepatology 119
  • Immunology 310
Replace Irene Braña with:
Irene Braña Spain
Kun He United States
Liza C. Villaruz United States
Jeffrey P. Hodge United States
Soonmo Peter Kang United States
Archie Tse United States
Amy P. Sing United States
Chenghua Xia United States
Anna Spreafico Canada
Penelope A. Bradbury Canada
Denis L. Jardim relative to Irene Braña Spain Irene Braña's profile →
Citations per field
00.5×1.7×
Irene Braña · 1×
Citations per year

Countries citing papers authored by Denis L. Jardim

Since Specialization
Citations

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

Fields of papers citing papers by Denis L. Jardim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denis L. Jardim. 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 Denis L. Jardim. The network helps show where Denis L. Jardim may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20248
3 20233
4 20237
5 202210
6 20211
7 20219
8 20201
9 202031
10 201913
11 201717
12 201740
13 20175
14 2015138
15 201465
16 201411
17 201417
18 201339
19 201286
20 20125

About Denis L. Jardim

Denis L. Jardim is a scholar working on Cancer Research, Oncology and Statistics and Probability, having authored 63 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (20 papers), Cancer Immunotherapy and Biomarkers (10 papers), Pancreatic and Hepatic Oncology Research (7 papers), Statistical Methods in Clinical Trials (6 papers), Colorectal Cancer Treatments and Studies (6 papers), Renal cell carcinoma treatment (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Cancer Research (619 citations), Oncology (1.1k citations) and Pulmonary and Respiratory Medicine (671 citations). Denis L. Jardim has collaborated with scholars based in Brazil, United States and Canada. Frequent co-authors include Razelle Kurzrock, Débora De Melo Gagliato, Aaron M. Goodman, David S. Hong, Mario Marchesi, Gabriel N. Hortobágyi, Maria Schwaederlé, Kenneth R. Hess, Vivek Subbiah and Christiane de Arruda Rodrigues. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

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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