Alexander Dash

412 citations
21 papers · 300 · h-index 9

Impact in

Papers in

Alexander Dash

16 papers receiving 293 citations

Peers

Alexander Dash
Comparison fields: 5 of 46
  • Orthopedics and Sports Medicine 39
  • Oncology 116
  • Genetics 122
  • Animal Science and Zoology 32
  • Pathology and Forensic Medicine 49
Replace Haruhiko Sano with:
Haruhiko Sano Japan
Di Qin China
Anna R. Smith United States
Liangliang Wang China
Masaki Kuwabara Japan
Lisa A. Mestrinho Portugal
Sebastian Bernardo United States
Jinfu Xie United States
Jinling Huang China
Abigail Morales‐Sánchez Mexico
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Citations per field
00.5×10×13×
Haruhiko Sano · 1×
Citations per year

Countries citing papers authored by Alexander Dash

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201586
2 201977
3 202034
4 202020
5 201714
6 201812
7 201811
8 20239
9 20228
10 20237
11 20197
12 20244
13 20234
14 20243
15 20233
16 20231
17 20250
18 20250
19 20240
20 20260

About Alexander Dash

Alexander Dash is a scholar working on Orthopedics and Sports Medicine, Surgery, Pathology and Forensic Medicine, Genetics and Animal Science and Zoology, having authored 21 papers that have together received 300 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (6 papers), Bone and Joint Diseases (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Virus-based gene therapy research (3 papers), Immunotherapy and Immune Responses (2 papers), Medical Imaging and Analysis (2 papers), Orthopaedic implants and arthroplasty (2 papers) and Total Knee Arthroplasty Outcomes (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (39 citations), Oncology (116 citations), Genetics (122 citations), Animal Science and Zoology (32 citations) and Pathology and Forensic Medicine (49 citations). Alexander Dash has collaborated with scholars based in United States. Frequent co-authors include Manish R. Patel, Yan Ji, Robert A. Kratzke, Blake A. Jacobson, Emily M. Stein, Donald J. McMahon, Mark J. Federspiel, Matthew E. Cunningham, Stephen J. Russell and Shaogeng Tang. Their work appears in journals such as Bone, Osteoporosis International, The Journal of Clinical Endocrinology & Metabolism, Cancer Gene Therapy and JBMR Plus.

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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