K Pulaski

896 citations
8 papers · 700 · h-index 8

Impact in

  • Neurology top 2%
    • Neurofibromatosis and Schwannoma Cases
    • Neuroblastoma Research and Treatments
    • Vascular Malformations Diagnosis and Treatment
    • Pituitary Gland Disorders and Treatments
    • Growth Hormone and Insulin-like Growth Factors

Papers in

K Pulaski

8 papers receiving 680 citations

Peers

K Pulaski
Comparison fields: 5 of 47
  • Neurology 377
  • Endocrinology, Diabetes and Metabolism 232
  • Rheumatology 118
  • Epidemiology 236
  • Genetics 45
Replace Toshiaki Sano with:
Toshiaki Sano Japan
P Mennonna Italy
Eriks A. Lusis United States
Patrice C. Abell-Aleff United States
Scheithauer Bw United States
Kaoru Kurisu Japan
A. Maíllo Spain
Stéphane Goutagny France
Dan X. Cai United States
Isabella Mammi Italy
K Pulaski relative to Toshiaki Sano Japan Toshiaki Sano's profile →
Citations per field
00.5×3.5×
Toshiaki Sano · 1×
Citations per year

Countries citing papers authored by K Pulaski

Since Specialization
Citations

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

Fields of papers citing papers by K Pulaski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 1994160
2
Germ-line mutations in the neurofibromatosis 2 gene: correlations with disease severity and retinal abnormalities.
1996159
3 200298
4
Mutational analysis of patients with neurofibromatosis 2.
199491
5 199081
6 200162
7 200230
8
Clonal analysis of human meningiomas and schwannomas.
199019

About K Pulaski

K Pulaski is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 8 papers that have together received 700 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (4 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Sarcoma Diagnosis and Treatment (2 papers), Meningioma and schwannoma management (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Vascular Malformations Diagnosis and Treatment (1 paper), Gastrointestinal Tumor Research and Treatment (1 paper) and Ophthalmology and Eye Disorders (1 paper). The work is most often cited by research in Neurology (377 citations), Endocrinology, Diabetes and Metabolism (232 citations), Rheumatology (118 citations), Epidemiology (236 citations) and Genetics (45 citations). K Pulaski has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Lee B. Jacoby, Bernd R. Seizinger, R Eldridge, M. MacCollin, Vijaya Ramesh, James A. Trofatter, H. Stacy Nicholson, Dilys M. Parry, James F. Gusella and Muriel I. Kaiser‐Kupfer. Their work appears in journals such as Clinical Endocrinology, Human Molecular Genetics, Journal of neurosurgery, The Journal of Clinical Endocrinology & Metabolism and PubMed.

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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