Daniel I. Jacobs

460 citations
8 papers · 226 indexed · h-index 6

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Glioma Diagnosis and Treatment 4
    • Cancer Genomics and Diagnostics 2
    • MicroRNA in disease regulation 2

Daniel I. Jacobs

8 papers receiving 216 citations

Peers

Daniel I. Jacobs
Comparison fields: 5 of 53
  • Genetics 80
  • Cancer Research 65
  • Internal Medicine 8
  • Molecular Biology 117
  • Radiology, Nuclear Medicine and Imaging 38
Replace Walid Al‐Achkar with:
Walid Al‐Achkar Syria
Deborah R. Smith United States
Tingyi Sun China
Baranda S. Hansen United States
Susana Sousa Portugal
Edwin Oole Netherlands
Kinjal Desai United States
Yuichiro Semba Japan
Ken L. Jones United States
J. M. Lavergne France
Daniel I. Jacobs relative to Walid Al‐Achkar Syria Walid Al‐Achkar's profile →
Citations per field
00.5×5.4×
Walid Al‐Achkar · 1×
Citations per year

Countries citing papers authored by Daniel I. Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Daniel I. Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201812
2 201845
3 20173
4 201547
5 201451
6 201345
7 19903
8 197320

About Daniel I. Jacobs

Daniel I. Jacobs is a scholar working on Genetics, Cancer Research, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 8 papers that have together received 226 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Chromosomal and Genetic Variations (2 papers), Cancer Genomics and Diagnostics (2 papers), MicroRNA in disease regulation (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (80 citations), Cancer Research (65 citations), Internal Medicine (8 citations), Molecular Biology (117 citations) and Radiology, Nuclear Medicine and Imaging (38 citations). Daniel I. Jacobs has collaborated with scholars based in United States. Frequent co-authors include Alan Fu, Yongxue Zhu, Zeming Chen, Jiangbing Zhou, Qin Qin, Joseph T. King, Lesley S. Park, Maxwell Laurans, Michal G. Rose and Robert Dubrow. Their work appears in journals such as Neuro-Oncology, Journal of Neuro-Oncology, Journal of Oncology Practice, RNA Biology and Oncotarget.

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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