Daniel Ford

31 papers receiving 639 citations

Peers

Daniel Ford
Comparison fields: 5 of 94
  • Nephrology 156
  • Transplantation 23
  • Emergency Medical Services 31
  • Endocrinology, Diabetes and Metabolism 60
  • Organic Chemistry 103
Replace Hideo Nakai with:
Hideo Nakai Japan
Roy Bannister United States
Stefaan Rossenu Belgium
Elena Guerini Switzerland
Gangli Gong United States
Eve‐Irene Lepist United States
Carol Collins United States
Harleen Singh United States
Patrick Archdeacon United States
Chan‐Loi Yong United States
Daniel Ford relative to Hideo Nakai Japan Hideo Nakai's profile →
Citations per field
00.5×2.8×
Hideo Nakai · 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-authors

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

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009174
2 200888
3 202248
4 200348
5 201033
6 200928
7 202023
8 201720
9 201820
10 201019
11 202118
12 201016
13 202114
14 202414
15 201013
16 202110
17 20159
18 20247
19 20097
20 20097

About Daniel Ford

Daniel Ford is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Nephrology and Economics and Econometrics, having authored 31 papers that have together received 647 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (3 papers), Head and Neck Cancer Studies (2 papers), Molecular spectroscopy and chirality (2 papers), Healthcare Policy and Management (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Chemokine receptors and signaling (2 papers), Peptidase Inhibition and Analysis (2 papers) and Dialysis and Renal Disease Management (2 papers). The work is most often cited by research in Nephrology (156 citations), Transplantation (23 citations), Emergency Medical Services (31 citations), Endocrinology, Diabetes and Metabolism (60 citations) and Organic Chemistry (103 citations). Daniel Ford has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include David Ansell, Retha Steenkamp, Paul Roderick, Stephanie MacNeill, Richard J. Payne, Ian Whitcombe, John Porter, Julie Gilg, Brian Hutchinson and Andrew Payne. Their work appears in journals such as Nephron Clinical Practice, ˜The œNephron journals/Nephron journals, Chemical Science, Bioorganic & Medicinal Chemistry Letters and Journal of the American Chemical Society.

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.

Explore authors with similar magnitude of impact