Daniel Medina-Cleghorn

604 citations
10 papers · 272 indexed · h-index 9
Topics
Microbial Metabolic Engineering and Bioproduction (3 papers)Metabolomics and Mass Spectrometry Studies (2 papers)Enzyme Catalysis and Immobilization (1 paper)
Partner nations
United StatesChina

In The Last Decade

Daniel Medina-Cleghorn

10 papers receiving 270 citations

Peers

Daniel Medina-Cleghorn
Comparison fields: 5 of 64
  • Molecular Biology 188
  • Biomedical Engineering 39
  • Pharmacology 37
  • Organic Chemistry 29
  • Epidemiology 25
Replace Weifan Jiang with:
Weifan Jiang China
Khairul Bariyyah Abd Halim Malaysia
Eric A. Kusznir Switzerland
Kai Gao China
Seungchan An South Korea
Gabriella Moroni Italy
Chahrzad Montrose United States
Yue An China
Shiladitya Nag India
Yangliang Ye China
Daniel Medina-Cleghorn relative to Weifan Jiang China Weifan Jiang's profile →
Citations per field
00.5×10×14.5×
Weifan Jiang · 1×
Citations per year

Countries citing papers authored by Daniel Medina-Cleghorn

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Medina-Cleghorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Medina-Cleghorn

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Medina-Cleghorn. A scholar is included among the top collaborators of Daniel Medina-Cleghorn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Medina-Cleghorn. Daniel Medina-Cleghorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 11
2 59
3 19
4 24
5 36
6 20
7 63
8 12
9 20
10 8

About Daniel Medina-Cleghorn

Daniel Medina-Cleghorn is a scholar working on Parasitology, Cell Biology and Reproductive Medicine, having authored 10 papers that have together received 272 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Molecular Biology (188 citations), Pharmacology (37 citations) and Biochemistry (10 citations). Daniel Medina-Cleghorn has collaborated with scholars based in United States and China. Frequent co-authors include Daniel K. Nomura, Rebecca A. Kohnz, Michael E. Lee, John E. Dueber, Michelle R. Arkin, Karl J. Fisher, Lee W. Riley, Leslie A. Bateman, Victoria A. Assimon and Markus‐Frederik Bohn. Their work appears in journals such as Journal of the American Chemical Society, Nature Chemical Biology and Pflügers Archiv - European Journal of Physiology.

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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