Ivan Vrhovec

1.1k citations
34 papers · 871 indexed · h-index 17

Impact in

Papers in

Ivan Vrhovec

34 papers receiving 847 citations

Peers

Ivan Vrhovec
Comparison fields: 5 of 78
  • Cancer Research 523
  • Immunology and Allergy 118
  • Oncology 302
  • Rheumatology 110
  • Hematology 79
Replace Marta Krašovec with:
Marta Krašovec Slovenia
J Škrk Slovenia
Luigia Stefania Stucci Italy
Patrizia Cohen United Kingdom
L Kaklamanis United Kingdom
Jennifer Callahan United States
Tingguo Zhang China
Sophie Domhan Germany
Chung-Ta Lee Taiwan
M Miyamoto Japan
Ivan Vrhovec relative to Marta Krašovec Slovenia Marta Krašovec's profile →
Citations per field
00.5×1.5×
Marta Krašovec · 1×
Citations per year

Countries citing papers authored by Ivan Vrhovec

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Vrhovec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Urokinase-type plasminogen activator and plasminogen activator inhibitor type 1 and type 2 in stage I malignant melanoma.
200316
2 200225
3 20026
4 200247
5
Cathepsin B and L and stefin A and B levels as serum tumor markers in squamous cell carcinoma of the head and neck.
200117
6 200019
7 20005
8 199914
9 199837
10 199821
11 199810
12 19979
13 199719
14
Cathepsins B, H, and L and their inhibitors stefin A and cystatin C in sera of melanoma patients.
1997153
15 199746
16 199669
17 19953
18 199586
19 19908
20
Treatment of ectopic pregnancy with prostaglandin E2.
19896

About Ivan Vrhovec

Ivan Vrhovec is a scholar working on Immunology and Allergy, Cancer Research, Genetics, Oncology and Hematology, having authored 34 papers that have together received 871 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (24 papers), Cell Adhesion Molecules Research (12 papers), Bone health and treatments (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Peptidase Inhibition and Analysis (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Bone and Dental Protein Studies (3 papers) and Bone Metabolism and Diseases (3 papers). The work is most often cited by research in Cancer Research (523 citations), Immunology and Allergy (118 citations), Oncology (302 citations), Rheumatology (110 citations) and Hematology (79 citations). Ivan Vrhovec has collaborated with scholars based in Slovenia, Croatia and United States. Frequent co-authors include J Škrk, Janko Kos, Marta Krašovec, Primož Strojan, Marjan Budihna, Lojze Šmid, Branka Svetic, Simona Borštnar, Borut Štabuc and Nataša Kopitar‐Jerala. Their work appears in journals such as The International Journal of Biological Markers, Anti-Cancer Drugs, Clinical Breast Cancer, European Journal of Cancer and Journal of Neuro-Oncology.

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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