Daniel An

31 papers receiving 483 citations

Peers

Daniel An
Comparison fields: 5 of 96
  • Complementary and Manual Therapy 19
  • Cell Biology 73
  • Complementary and alternative medicine 30
  • Reproductive Medicine 30
  • Psychiatry and Mental health 46
Replace Jens Hudemann with:
Jens Hudemann Germany
Yan‐Nan Liu China
Therese Rosenling Netherlands
Qiujing Song China
Takeshi Tsutsumi Japan
Sebastian M. Armasu United States
K Schubert Germany
Jiali Zhao China
Joyce M. Leo Canada
Daniel An relative to Jens Hudemann Germany Jens Hudemann's profile →
Citations per field
00.5×4.2×
Jens Hudemann · 1×
Citations per year

Countries citing papers authored by Daniel An

Since Specialization
Citations

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

Fields of papers citing papers by Daniel An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202088
2 202035
3 202133
4 202030
5 201926
6 202026
7 202022
8 201922
9 201621
10 202020
11 201419
12 202019
13 202018
14 202318
15 202017
16
Twistor space for rolling bodies
201614
17 202013
18 202010
19 20207
20 20177

About Daniel An

Daniel An is a scholar working on Surgery, Molecular Biology, Pathology and Forensic Medicine, Astronomy and Astrophysics and Psychiatry and Mental health, having authored 34 papers that have together received 498 indexed citations. Recurring topics across this work include Migraine and Headache Studies (4 papers), Advanced Differential Geometry Research (3 papers), Shoulder Injury and Treatment (3 papers), PARP inhibition in cancer therapy (3 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Cosmology and Gravitation Theories (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Complementary and Manual Therapy (19 citations), Cell Biology (73 citations), Complementary and alternative medicine (30 citations), Reproductive Medicine (30 citations) and Psychiatry and Mental health (46 citations). Daniel An has collaborated with scholars based in United States, Italy and Poland. Frequent co-authors include Omar Viswanath, Ivan Urits, Alan D. Kaye, Paweł Nurowski, Jungmin Lee, Susana Banerjee, Rachel J. Kaye, Zahra Maleki, Cyrus Yazdi and Laxmaiah Manchikanti. Their work appears in journals such as Best practice & research. Clinical anaesthesiology, Monthly Notices of the Royal Astronomical Society, Current Pain and Headache Reports, Anticancer Research and Journal for ImmunoTherapy of 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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