Daniel Grits

704 citations
39 papers · 440 indexed · h-index 12

Daniel Grits

35 papers receiving 434 citations

Peers

Daniel Grits
Comparison fields: 5 of 60
  • Surgery 324
  • Internal Medicine 17
  • Health Informatics 5
  • Cardiology and Cardiovascular Medicine 57
  • Emergency Medical Services 15
Replace Aaron Z. Chen with:
Aaron Z. Chen United States
Gregory R. Toci United States
Cesar D. Lopez United States
Anoop R. Galivanche United States
Michael A. Charters United States
Bobby D. Kim United States
David Strosberg United States
Karan Kapoor United States
Ron Onstenk Netherlands
Caleb R. Szubski United States
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Citations per field
00.5×2.5×
Aaron Z. Chen · 1×
Citations per year

Countries citing papers authored by Daniel Grits

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Grits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20234
3 20232
4 20220
5 202240
6 20225
7 20227
8 20223
9 202210
10 202242
11 20222
12 202110
13 20217
14 20213
15 202112
16 202014
17 202033
18 202017
19 202011
20 201911

About Daniel Grits

Daniel Grits is a scholar working on Internal Medicine, Surgery, Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 39 papers that have together received 440 indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (20 papers), Orthopaedic implants and arthroplasty (15 papers), Orthopedic Infections and Treatments (11 papers), Hip and Femur Fractures (10 papers), Cardiac, Anesthesia and Surgical Outcomes (8 papers), Spine and Intervertebral Disc Pathology (7 papers), Cervical and Thoracic Myelopathy (5 papers) and Anesthesia and Pain Management (4 papers). The work is most often cited by research in Surgery (324 citations), Internal Medicine (17 citations), Health Informatics (5 citations), Cardiology and Cardiovascular Medicine (57 citations) and Emergency Medical Services (15 citations). Daniel Grits has collaborated with scholars based in United States, Singapore and Netherlands. Frequent co-authors include Nicolás S. Piuzzi, Ahmed K. Emara, Linsen T. Samuel, Atul F. Kamath, Alison K. Klika, Alexander J. Acuña, Robert M. Molloy, Roy Lan, Carlos A. Higuera and Melissa N. Orr. Their work appears in journals such as The Journal of Arthroplasty, Clinical Orthopaedics and Related Research, Journal of Bone and Joint Surgery, The Spine Journal and Hip International.

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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