JL Blum

408 citations
25 papers · 202 · h-index 8

Impact in

    • Cancer Treatment and Pharmacology
    • HER2/EGFR in Cancer Research
    • PARP inhibition in cancer therapy
    • Colorectal Cancer Treatments and Studies
    • Breast Cancer Treatment Studies

Papers in

JL Blum

25 papers receiving 191 citations

Peers

JL Blum
Comparison fields: 5 of 36
  • Oncology 181
  • Cancer Research 80
  • Pulmonary and Respiratory Medicine 53
  • Dermatology 11
  • Genetics 33
Replace Vassilena Tsvetkova with:
Vassilena Tsvetkova Italy
Ruth M. O'Regan United States
Claudette Falato Spain
Vinay Gudena United States
Mathilde Warcoin France
Jasmina Bojadzieva United States
Sarah O’Meara United Kingdom
Brooke Daniel United States
Fernanda Mosele France
Megan N. Frone United States
JL Blum relative to Vassilena Tsvetkova Italy Vassilena Tsvetkova's profile →
Citations per field
00.5×10×20×31×
Vassilena Tsvetkova · 1×
Citations per year

Countries citing papers authored by JL Blum

Since Specialization
Citations

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

Fields of papers citing papers by JL Blum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201840
2 201029
3 200827
4 199618
5 201114
6 200911
7 20049
8 20058
9 20136
10 20096
11 20105
12 19823
13 20133
14 20183
15 20103
16
Long-term clinical and prostate-specific antigen follow-up in 500 patients treated with radiation therapy for localized prostate cancer.
19953
17 20162
18 20042
19 20182
20 20112

About JL Blum

JL Blum is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Cancer Research and Molecular Biology, having authored 25 papers that have together received 202 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (11 papers), Cancer Treatment and Pharmacology (10 papers), Breast Cancer Treatment Studies (6 papers), PARP inhibition in cancer therapy (6 papers), BRCA gene mutations in cancer (5 papers), DNA Repair Mechanisms (4 papers), Estrogen and related hormone effects (4 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Oncology (181 citations), Cancer Research (80 citations), Pulmonary and Respiratory Medicine (53 citations), Dermatology (11 citations) and Genetics (33 citations). JL Blum has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Joyce O’Shaughnessy, Filippo Greco, John D. Hainsworth, Stephen E. Jones, Robert Mennel, Rinat Yerushalmi, Miguel Martín, W. Eiermann, Donald Richards and Michael Danso. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Annals of Oncology, The Breast and International Journal of Radiation Oncology*Biology*Physics.

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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