Ivan Ćirić

4.4k citations
104 papers · 3.3k · 1 hit paper · h-index 26

Impact in

Papers in

Ivan Ćirić

96 papers receiving 3.1k citations

Ivan Ćirić's Hit Papers

Complications of Transsphenoidal Surgery: Results of a National Survey, Review of the Literature, and Personal Experience 1997 · 756 citations
7560+9+19Years since publication250500750

Peers

Ivan Ćirić
Comparison fields: 5 of 148
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Genetics 737
  • Neurology 536
  • Epidemiology 1.1k
  • Surgery 1.2k
Replace Jun Pan with:
Jun Pan China
Makoto Nakamura Japan
Takashi Tamiya Japan
Chi‐Cheng Chuang Taiwan
Kiyoshi Saito Japan
Christian Rainer Wirtz Germany
Hiroaki Takeuchi Japan
Naoki Suzuki Japan
Davide Locatelli Italy
Yanjun Zeng China
Ivan Ćirić relative to Jun Pan China Jun Pan's profile →
Citations per field
00.5×3.3×
Jun Pan · 1×
Citations per year

Countries citing papers authored by Ivan Ćirić

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Ćirić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Complications of Transsphenoidal Surgery: Results of a National Survey, Review of the Literature, and Personal Experience
Hit paper breakdown →
1997756
2 1991389
3 1983223
4 1987163
5 1980115
6 1981114
7 201197
8 198589
9 198374
10 201671
11 201966
12 198064
13 199563
14 198549
15 197546
16 200146
17 200534
18 198532
19 202232
20 198431

About Ivan Ćirić

Ivan Ćirić is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery, Neurology and Genetics, having authored 104 papers that have together received 3.3k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (28 papers), Meningioma and schwannoma management (21 papers), Glioma Diagnosis and Treatment (11 papers), Head and Neck Surgical Oncology (11 papers), Neurofibromatosis and Schwannoma Cases (9 papers), Cerebrospinal fluid and hydrocephalus (8 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Infrared Target Detection Methodologies (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Genetics (737 citations), Neurology (536 citations), Epidemiology (1.1k citations) and Surgery (1.2k citations). Ivan Ćirić has collaborated with scholars based in United States, Serbia and Germany. Frequent co-authors include C. Baumgartner, D. A. Pierce, Ann Ragin, Michael A. Mikhael, Nicholas A. Vick, Jeffrey W. Cozzens, Lawrence J. Lawson, Tom Stafford, Mario Ammirati and Theodore W. Eller. Their work appears in journals such as Neurosurgery, Journal of neurosurgery, Journal of Computer Assisted Tomography, World Neurosurgery and Neurosurgical FOCUS.

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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