Harm C.A. Graat

615 citations
17 papers · 494 · h-index 11

Impact in

    • Orthopedic Infections and Treatments
    • Orthopaedic implants and arthroplasty
    • Scoliosis diagnosis and treatment

Papers in

    • Virus-based gene therapy research 7
    • Connective tissue disorders research 1
    • Scoliosis diagnosis and treatment 3

Harm C.A. Graat

17 papers receiving 479 citations

Peers

Harm C.A. Graat
Comparison fields: 5 of 52
  • Microbiology 25
  • Surgery 202
  • Oncology 97
  • Genetics 96
  • Molecular Biology 163
Replace Tomohiro Kodani with:
Tomohiro Kodani Japan
Mariela Artola-Borán Switzerland
Marcel Silva Luz Brazil
Daniela Olivero Italy
M Tavassoli United Kingdom
Tsutomu Kanefuji Japan
Fuad V. Shammas Norway
Amira El‐Sherif United Kingdom
Marko Janke Germany
Mark Charnock United Kingdom
Harm C.A. Graat relative to Tomohiro Kodani Japan Tomohiro Kodani's profile →
Citations per field
00.5×10×12.5×
Tomohiro Kodani · 1×
Citations per year

Countries citing papers authored by Harm C.A. Graat

Since Specialization
Citations

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

Fields of papers citing papers by Harm C.A. Graat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harm C.A. Graat. 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 Harm C.A. Graat. The network helps show where Harm C.A. Graat may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2013139
2 2011103
3 200638
4 200235
5 200731
6 200230
7 200527
8 200624
9 200815
10 201515
11 201411
12 20179
13 20087
14 20164
15 20104
16 20061
17
Inter- And Intraobserver Reliability In The Assessment Of Glenoid Fracture Classifications.
20171

About Harm C.A. Graat

Harm C.A. Graat is a scholar working on Genetics, Surgery, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 494 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Sarcoma Diagnosis and Treatment (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Scoliosis diagnosis and treatment (3 papers), CAR-T cell therapy research (3 papers), Cancer Research and Treatments (2 papers), Connective tissue disorders research (1 paper) and Shoulder and Clavicle Injuries (1 paper). The work is most often cited by research in Microbiology (25 citations), Surgery (202 citations), Oncology (97 citations), Genetics (96 citations) and Molecular Biology (163 citations). Harm C.A. Graat has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Victor W. van Beusechem, Gertjan J.L. Kaspers, Marco N. Helder, Peter A. Nolte, Diederik A. Vergroesen, Jesse W.P. Kuiper, Y. J. Debets-Ossenkopp, Frederik H.E. Schagen, Edgar J.G. Peters and André van Ooij. Their work appears in journals such as Spine, Molecular Cancer, Molecular Cancer Therapeutics, The Journal of Gene Medicine and Molecular Therapy.

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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