John J. Fiore

1.2k citations
20 papers · 752 · h-index 11

Impact in

  • Oncology top 5%
    • Lung Cancer Research Studies
    • Cancer Treatment and Pharmacology
    • Peptidase Inhibition and Analysis
    • Colorectal Cancer Treatments and Studies
    • Lung Cancer Treatments and Mutations
    • Lung Cancer Diagnosis and Treatment

Papers in

    • Lung Cancer Research Studies 10
    • Cancer Treatment and Pharmacology 4
    • Colorectal Cancer Treatments and Studies 3
    • Lung Cancer Treatments and Mutations 8
    • Lung Cancer Diagnosis and Treatment 2

John J. Fiore

19 papers receiving 711 citations

Peers

John J. Fiore
Comparison fields: 5 of 61
  • Oncology 561
  • Pulmonary and Respiratory Medicine 383
  • Epidemiology 189
  • Cancer Research 53
  • Otorhinolaryngology 15
Replace Mitchel Fromm with:
Mitchel Fromm United States
Eun Deok Chang South Korea
Minghuan Li China
Anqin Han China
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Kyoichi Okishio Japan
A Topham United States
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D. Latz Germany
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John J. Fiore relative to Mitchel Fromm United States Mitchel Fromm's profile →
Citations per field
00.5×3.2×
Mitchel Fromm · 1×
Citations per year

Countries citing papers authored by John J. Fiore

Since Specialization
Citations

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

Fields of papers citing papers by John J. Fiore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1986202
2 2012122
3 2016105
4 2008101
5 198761
6 199036
7 198525
8 199120
9 198420
10 198511
11 202010
12 201510
13 19958
14 19917
15 19875
16 19994
17 19882
18 20162
19 20181
20 20120

About John J. Fiore

John J. Fiore is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Genetics, having authored 20 papers that have together received 752 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (10 papers), Lung Cancer Treatments and Mutations (8 papers), Cancer therapeutics and mechanisms (5 papers), Cancer Treatment and Pharmacology (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Oncology (561 citations), Pulmonary and Respiratory Medicine (383 citations), Epidemiology (189 citations), Cancer Research (53 citations) and Otorhinolaryngology (15 citations). John J. Fiore has collaborated with scholars based in United States. Frequent co-authors include Mark G. Kris, David P. Kelsen, Richard J. Gralla, R T Heelan, Joseph O’Connell, Gregory J. Riely, Susan Groshen, Robert B. Golbey, Christopher G. Azzoli and Naiyer A. Rizvi. Their work appears in journals such as Journal of Clinical Oncology, Cancer Investigation, Clinical Cancer Research, Cancer and Clinical Lung Cancer.

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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