Daniel Cramer

15.5k citations
9 papers · 10.4k · 7 hit papers · h-index 9

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
  • Oncology top 0.5%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Genomics and Diagnostics 5
    • Cancer Immunotherapy and Biomarkers 3
    • Pancreatic and Hepatic Oncology Research 1

Daniel Cramer

9 papers receiving 10.3k citations

Daniel Cramer's Hit Papers

The Immune Landscape of Cancer 2019 · 449 citations
4490+2+5Years since publication10002.0k3.0k4.0k

Peers

Daniel Cramer
Comparison fields: 5 of 129
  • Cancer Research 2.7k
  • Oncology 3.2k
  • Immunology 1.7k
  • Pulmonary and Respiratory Medicine 2.3k
  • Molecular Biology 4.2k
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Daniel Cramer relative to Gloria Petersen United States Gloria Petersen's profile →
Citations per field
00.5×1.5×
Gloria Petersen · 1×
Citations per year

Countries citing papers authored by Daniel Cramer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Cramer. 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 Daniel Cramer. The network helps show where Daniel Cramer may publish in the future.

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All Works

9 of 9 papers shown
#Work
1
The Immune Landscape of Cancer
Hit paper breakdown →
20184331
2
Comprehensive Characterization of Cancer Driver Genes and Mutations
Hit paper breakdown →
20181714
3
Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation
Hit paper breakdown →
20181617
4
Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas
Hit paper breakdown →
2018810
5
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
Hit paper breakdown →
2018761
6
The Immune Landscape of Cancer
Hit paper breakdown →
2019449
7
Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer
Hit paper breakdown →
2018372
8 2018227
9 2018117

About Daniel Cramer

Daniel Cramer is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Biophysics, having authored 9 papers that have together received 10.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Ferroptosis and cancer prognosis (2 papers), Single-cell and spatial transcriptomics (2 papers), DNA Repair Mechanisms (1 paper), Immunotherapy and Immune Responses (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Cancer Research (2.7k citations), Oncology (3.2k citations), Immunology (1.7k citations), Pulmonary and Respiratory Medicine (2.3k citations) and Molecular Biology (4.2k citations). Daniel Cramer has collaborated with scholars based in United States. Their work appears in journals such as Cell Reports, Immunity and Cell.

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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