Daniel Ford

4.7k citations
39 papers · 2.2k indexed · 1 hit paper · h-index 16

Daniel Ford

38 papers receiving 2.1k citations

Hit Papers

Risks of cancer in BRCA1-mutation carriers1.4k19942026200420154008001.2k

Peers

Daniel Ford
Comparison fields: 5 of 109
  • Aging 154
  • Genetics 1.2k
  • Reproductive Medicine 260
  • Cancer Research 419
  • Pathology and Forensic Medicine 441
Replace M. Stephen Meyn with:
M. Stephen Meyn Canada
Adayabalam S. Balajee United States
Jun‐ichi Akahira Japan
Kirsten Vang Nielsen Denmark
Paul Laissue Colombia
Irmgard Irminger‐Finger Switzerland
Michelle Ricoul France
Zsofia Kote‐Jarai United Kingdom
Luke Hughes‐Davies United Kingdom
Samuel F. Bunting United States
Daniel Ford relative to M. Stephen Meyn Canada M. Stephen Meyn's profile →
Citations per field
00.5×3.1×
M. Stephen Meyn · 1×
Citations per year

Countries citing papers authored by Daniel Ford

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20223
3 20213
4 20202
5 201843
6 20162
7 20163
8 20162
9 201423
10 20125
11 20113
12 200931
13 200921
14 200925
15 200845
16 2007111
17 200776
18 200631
19
Risks of cancer in BRCA1-mutation carriersbreakdown →
19941394
20 196920

About Daniel Ford

Daniel Ford is a scholar working on Aging, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology and Radiation, having authored 39 papers that have together received 2.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (17 papers), Radiopharmaceutical Chemistry and Applications (10 papers), Cancer Treatment and Pharmacology (7 papers), Bladder and Urothelial Cancer Treatments (6 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Multiple Myeloma Research and Treatments (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Aging (154 citations), Genetics (1.2k citations), Reproductive Medicine (260 citations), Cancer Research (419 citations) and Pathology and Forensic Medicine (441 citations). Daniel Ford has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include John Tower, Gary N. Landis, Nicholas Hoe, Simon Tavaré, Phillip Parente, Joan Carles, Choung‐Soo Kim, Lajos Géczi, Johann S. de Bono and Mario A. Eisenberger. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, British Journal of Urology, Aging and Journal of Investigative Dermatology.

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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