M. Ravic

1.3k citations
39 papers · 1.1k · h-index 15

Impact in

Papers in

M. Ravic

38 papers receiving 1.0k citations

Peers

M. Ravic
Comparison fields: 5 of 75
  • Gastroenterology 114
  • Oncology 369
  • Pharmacology 96
  • Immunology 199
  • Pathology and Forensic Medicine 114
Replace Amit Garg with:
Amit Garg United States
Jun Hihara Japan
Xinsen Xu China
Qingyuan Zhang China
Daniel Mulkerin United States
Akitaka Makiyama Japan
Chung-Tsen Hsueh United States
M. Moscovici United States
Prachi Patil India
Thomas J. Ettrich Germany
M. Ravic relative to Amit Garg United States Amit Garg's profile →
Citations per field
00.5×3.8×
Amit Garg · 1×
Citations per year

Countries citing papers authored by M. Ravic

Since Specialization
Citations

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

Fields of papers citing papers by M. Ravic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015267
2 2003118
3 200689
4 200451
5 200250
6 200148
7 200547
8
Phase I and pharmacokinetic study of E7070, a chloroindolyl-sulfonamide anticancer agent, administered on a weekly schedule to patients with solid tumors.
200343
9 200342
10 200337
11 200236
12 201235
13 200619
14 199317
15 201417
16 199013
17 200213
18
Renal and gastrointestinal tolerability of lornoxicam, and effects on haemostasis and hepatic microsomal oxidation.
199012
19
Clinical pharmacological studies of some possible interactions of lornoxicam with other drugs.
199011
20 200310

About M. Ravic

M. Ravic is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Surgery and Molecular Biology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Helicobacter pylori-related gastroenterology studies (4 papers), CAR-T cell therapy research (4 papers), Inflammatory mediators and NSAID effects (3 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Gastroenterology (114 citations), Oncology (369 citations), Pharmacology (96 citations), Immunology (199 citations) and Pathology and Forensic Medicine (114 citations). M. Ravic has collaborated with scholars based in United Kingdom, Netherlands and Germany. Frequent co-authors include P. Fumoleau, A. L. Blum, D. Pantoflickova, Philippe Jornod, Gian Dorta, J. Wanders, Achim Rothe, Dennis A. Eichenauer, Jan H.M. Schellens and Horst Hummel. Their work appears in journals such as Journal of Clinical Oncology, Blood, British Journal of Clinical Pharmacology, Annals of Oncology and Gastroenterology.

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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