Ivan Jozic

32 papers receiving 1.4k citations

Ivan Jozic's Hit Papers

Diabetic Wound-Healing Science 2021 · 598 citations
5980+2+4Years since publication100200300400500

Peers

Ivan Jozic
Comparison fields: 5 of 100
  • Rehabilitation 713
  • Occupational Therapy 168
  • Endocrinology, Diabetes and Metabolism 358
  • Urology 84
  • Genetics 134
Replace Kenneth W. Liechty with:
Kenneth W. Liechty United States
Rita E. Mirza United States
Trung T. Nguyen United States
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Vivekananda Gupta Sunkari Sweden
Jaideep Banerjee United States
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Danqing Min Australia
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Citations per field
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Citations per year

Countries citing papers authored by Ivan Jozic

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Jozic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Diabetic Wound-Healing Science
Hit paper breakdown →
2021598
2
Deregulated immune cell recruitment orchestrated by FOXM1 impairs human diabetic wound healing
Hit paper breakdown →
2020268
3 201799
4 201665
5 201948
6 201744
7 201939
8 202137
9 201933
10 202124
11 202223
12 201918
13 201917
14 202116
15 202216
16 202110
17 202010
18 20129
19 20257
20 20236

About Ivan Jozic

Ivan Jozic is a scholar working on Rehabilitation, Cell Biology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Occupational Therapy, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Wound Healing and Treatments (19 papers), Diabetic Foot Ulcer Assessment and Management (9 papers), Caveolin-1 and cellular processes (8 papers), Pressure Ulcer Prevention and Management (6 papers), Cell Adhesion Molecules Research (6 papers), Hair Growth and Disorders (3 papers), Signaling Pathways in Disease (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Rehabilitation (713 citations), Occupational Therapy (168 citations), Endocrinology, Diabetes and Metabolism (358 citations), Urology (84 citations) and Genetics (134 citations). Ivan Jozic has collaborated with scholars based in United States, Serbia and Barbados. Frequent co-authors include Robert S. Kirsner, Beatriz Abdo Abujamra, Jamie L. Burgess, William Austin Wyant, Irena Pastar, Marjana Tomic‐Canic, R. Stone, Andrew P. Sawaya, Cheyanne R. Head and Olivera Stojadinović. Their work appears in journals such as Journal of Investigative Dermatology, Experimental Dermatology, Wound Repair and Regeneration, International Wound Journal and Biomedicines.

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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