Daniel Hakim

7 papers receiving 452 citations

Daniel Hakim's Hit Papers

Gut microbiome of multiple sclerosis patients and paired household healthy controls reveal associations with disease risk and course 2022 · 223 citations
2230+1+2Years since publication50100150200

Peers

Daniel Hakim
Comparison fields: 5 of 88
  • Biological Psychiatry 23
  • Software 28
  • Astronomy and Astrophysics 64
  • Dermatology 28
  • Gastroenterology 15
Replace J. Alejandro Morales with:
J. Alejandro Morales Mexico
Victoria Zoccoli-Rodriguez United States
Kanita Karađuzović-Hadžiabdić Bosnia and Herzegovina
Zhiqi Gao China
Özkan Ufuk Nalbantoğlu Türkiye
Marjan Trutschl United States
Shengyu Feng China
Changlu Qi China
Namhee Kim United States
Kun Soo Han China
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Citations per field
00.5×5×10×16×
J. Alejandro Morales · 1×
Citations per year

Countries citing papers authored by Daniel Hakim

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hakim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Gut microbiome of multiple sclerosis patients and paired household healthy controls reveal associations with disease risk and course
Hit paper breakdown →
2022223
2 200572
3 202456
4 202351
5 200636
6 202316
7 202211

About Daniel Hakim

Daniel Hakim is a scholar working on Software, Endocrinology, Statistics, Probability and Uncertainty, Dermatology and Molecular Biology, having authored 7 papers that have together received 465 indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), Software Engineering Research (1 paper), Genomics and Phylogenetic Studies (1 paper), Solar and Space Plasma Dynamics (1 paper), Meta-analysis and systematic reviews (1 paper), Software Testing and Debugging Techniques (1 paper), Vibrio bacteria research studies (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Biological Psychiatry (23 citations), Software (28 citations), Astronomy and Astrophysics (64 citations), Dermatology (28 citations) and Gastroenterology (15 citations). Daniel Hakim has collaborated with scholars based in United States and Spain. Frequent co-authors include David M. Rust, Pietro Bernasconi, Rob Knight, William White Tison Pugh, Brian S. Cole, David Hovemeyer, K Stephens, Gibraan Rahman, Kellen J. Cavagnero and Tatsuya Dokoshi. Their work appears in journals such as Movement Disorders, Nature Communications, Cell, Solar Physics and Genes.

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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