Dorit Pud

6.2k citations
84 papers · 4.8k indexed · 1 hit paper · h-index 34
Topics
Pain Mechanisms and Treatments (47 papers)Pain Management and Placebo Effect (26 papers)Musculoskeletal pain and rehabilitation (25 papers)

In The Last Decade

Dorit Pud

84 papers receiving 4.6k citations

Hit Papers

Use of complementary and alternative medicine in cancer p...20052026201220192005250500750

Peers

Dorit Pud
Comparison fields: 5 of 144
  • Physiology 2.0k
  • Pharmacology 1.4k
  • Cognitive Neuroscience 1.1k
  • Complementary and alternative medicine 1.1k
  • Anesthesiology and Pain Medicine 808
Replace Takahiro Ushida with:
Takahiro Ushida Japan
Lene Vase Denmark
Xue‐Jun Song China
Petra Klose Germany
Maija Haanpää Finland
Mary Lynch Canada
Robert D. Helme Australia
Nicola Torrance United Kingdom
Maria Adele Giamberardino Italy
Miroslav Bačkonja United States
Dorit Pud relative to Takahiro Ushida Japan Takahiro Ushida's profile →
Citations per field
00.5×3.8×
Takahiro Ushida · 1×
Citations per year

Countries citing papers authored by Dorit Pud

Since Specialization
Citations

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

Fields of papers citing papers by Dorit Pud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dorit Pud

This figure shows the co-authorship network connecting the top 25 collaborators of Dorit Pud. A scholar is included among the top collaborators of Dorit Pud 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 Dorit Pud. Dorit Pud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 12
3 20
4 34
5 26
6 33
7 54
8 23
9 59
10 7
11 206
12 42
13 18
14 7
15 59
16 4
17 49
18 30
19 76
20 10

About Dorit Pud

Dorit Pud is a scholar working on Anesthesiology and Pain Medicine, Physiology and Cognitive Neuroscience, having authored 84 papers that have together received 4.8k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (47 papers), Pain Management and Placebo Effect (26 papers) and Musculoskeletal pain and rehabilitation (25 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (808 citations), Complementary and alternative medicine (1.1k citations) and Pharmacology (1.4k citations). Dorit Pud has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Elon Eisenberg, David Yarnitsky, Elliot Sprecher, Yelena Granovsky, Irit Weissman‐Fogel, Roi Treister, May Haddad, Alex Molassiotis, Nurgün Platin and Vassiliki Panteli. Their work appears in journals such as PLoS ONE, Brain Research and 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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