Daniel Pach

2.1k citations
48 papers · 1.4k indexed · h-index 21

Impact in

Papers in

Daniel Pach

46 papers receiving 1.4k citations

Peers

Daniel Pach
Comparison fields: 5 of 105
  • Complementary and alternative medicine 944
  • Cognitive Neuroscience 387
  • Psychiatry and Mental health 287
  • Pharmacology 317
  • Complementary and Manual Therapy 32
Replace WU Tai-xiang with:
WU Tai-xiang China
Susanne Jena Germany
Richard C. Niemtzow United States
Joseph Audette United States
Panos Barlas United Kingdom
Mike Cummings United Kingdom
Antoinette I. M. van Laarhoven Netherlands
Anett Reißhauer Germany
Scott Mist United States
J. Munakata United States
Daniel Pach relative to WU Tai-xiang China WU Tai-xiang's profile →
Citations per field
00.5×1.5×1.9×
WU Tai-xiang · 1×
Citations per year

Countries citing papers authored by Daniel Pach

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009367
2 2012203
3 201278
4 201871
5 201057
6 201442
7 201738
8 201435
9 201034
10 200934
11 200932
12 201532
13 201228
14 201725
15 200624
16 201624
17 201323
18 201323
19 201921
20 201920

About Daniel Pach

Daniel Pach is a scholar working on Complementary and alternative medicine, Psychiatry and Mental health, Applied Psychology, Cognitive Neuroscience and Immunology and Allergy, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Complementary and Alternative Medicine Studies (27 papers), Acupuncture Treatment Research Studies (22 papers), Psychosomatic Disorders and Their Treatments (11 papers), Pain Management and Placebo Effect (11 papers), Musculoskeletal pain and rehabilitation (6 papers), Menstrual Health and Disorders (4 papers), Biofield Effects and Biophysics (3 papers) and Dermatology and Skin Diseases (3 papers). The work is most often cited by research in Complementary and alternative medicine (944 citations), Cognitive Neuroscience (387 citations), Psychiatry and Mental health (287 citations), Pharmacology (317 citations) and Complementary and Manual Therapy (32 citations). Daniel Pach has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Claudia M. Witt, Stefan N. Willich, Benno Brinkhaus, Katja Wruck, Sigrid Mank, Brigitte Tag, Till Nierhaus, Stephanie Roll, Wenjing Huang and Fanrong Liang. Their work appears in journals such as Trials, PLoS ONE, JMIR mhealth and uhealth, The Journal of Alternative and Complementary Medicine and European Journal of Pain.

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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