Jolanta Kasprzyk‐Obara
- Physiology top 2%
- Tuberous Sclerosis Complex Research 7
- Oncology top 10%
- Pathology and Forensic Medicine top 10%
- Tumors and Oncological Cases 2
- Genetics top 10%
- Genomics and Rare Diseases 1
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- Neonatal Health and Biochemistry 2
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- Infectious Encephalopathies and Encephalitis 2
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- Cytomegalovirus and herpesvirus research 2
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- DNA Repair Mechanisms 1
- Hedgehog Signaling Pathway Studies 1
- Co-authors
- Sergiusz JóźwiakDavid J. KwiatkowskiDorota Domańska‐PakiełaPenelope RobertsSandra L. DaboraMary Pat ReeveDavid Neal FranzJohn C. Egelhoff
- Partner nations
- PolandUnited States
In The Last Decade
Jolanta Kasprzyk‐Obara
11 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Physiology 879
- Oncology 346
- Pathology and Forensic Medicine 136
- Genetics 178
- Pulmonary and Respiratory Medicine 152
Countries citing papers authored by Jolanta Kasprzyk‐Obara
This map shows the geographic impact of Jolanta Kasprzyk‐Obara'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 Jolanta Kasprzyk‐Obara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jolanta Kasprzyk‐Obara more than expected).
Fields of papers citing papers by Jolanta Kasprzyk‐Obara
This network shows the impact of papers produced by Jolanta Kasprzyk‐Obara. 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 Jolanta Kasprzyk‐Obara. The network helps show where Jolanta Kasprzyk‐Obara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jolanta Kasprzyk‐Obara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 55 | |
| 2 | 2009 | 5 | |
| 3 | 2007 | 10 | |
| 4 | Clinical characteristics of tuberous sclerosis complex in patients with no TSC1 or TSC2 mutations identified | 2006 | 1 |
| 5 | 2006 | 106 | |
| 6 | Clinical symptoms of tuberous sclerosis complex in patients with an identical TSC2 mutation. | 2005 | 11 |
| 7 | Mutational Analysis in a Cohort of 224 Tuberous Sclerosis Patients Indicates Increased Severity of TSC2, Compared with TSC1, Disease in Multiple Organsbreakdown → | 2001 | 700 |
| 8 | [Tests for loss of heterozygosity in tuberous sclerosis]. | 2001 | 6 |
| 9 | [Phacomatoses: structural substare of epilepsy]. | 2000 | 2 |
| 10 | 1999 | 92 | |
| 11 | 1998 | 46 |
About Jolanta Kasprzyk‐Obara
Jolanta Kasprzyk‐Obara is a scholar working on Physiology, Pathology and Forensic Medicine and Infectious Diseases, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (7 papers), Neonatal Health and Biochemistry (2 papers), Infectious Encephalopathies and Encephalitis (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Tumors and Oncological Cases (2 papers), Genomics and Rare Diseases (1 paper), DNA Repair Mechanisms (1 paper) and Hedgehog Signaling Pathway Studies (1 paper). The work is most often cited by research in Physiology (879 citations), Oncology (346 citations) and Pathology and Forensic Medicine (136 citations). Jolanta Kasprzyk‐Obara has collaborated with scholars based in Poland and United States. Frequent co-authors include Sergiusz Jóźwiak, David J. Kwiatkowski, Dorota Domańska‐Pakieła, Penelope Roberts, Sandra L. Dabora, Mary Pat Reeve, David Neal Franz, John C. Egelhoff, Joon Yong Chung and Elizabeth A. Thiele. Their work appears in journals such as PEDIATRICS, The American Journal of Human Genetics and Epilepsia.
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.