K Pulaski

892 citations
8 papers · 697 indexed · h-index 8

Impact in

  • Neurology top 5%
    • Neurofibromatosis and Schwannoma Cases
    • Vascular Malformations Diagnosis and Treatment
    • Pituitary Gland Disorders and Treatments
    • Growth Hormone and Insulin-like Growth Factors

Papers in

K Pulaski

8 papers receiving 677 citations

Peers

K Pulaski
Comparison fields: 5 of 47
  • Neurology 395
  • Endocrinology, Diabetes and Metabolism 239
  • Rheumatology 147
  • Epidemiology 287
  • Genetics 51
Replace P Mennonna with:
P Mennonna Italy
Toshiaki Sano Japan
Eriks A. Lusis United States
Patrice C. Abell-Aleff United States
A. Maíllo Spain
Kaoru Kurisu Japan
Scheithauer Bw United States
Stéphane Goutagny France
Dan X. Cai United States
Paul Newey United Kingdom
K Pulaski relative to P Mennonna Italy P Mennonna's profile →
Citations per field
00.5×3.2×
P Mennonna · 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-authorship network

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 200230
2 200296
3 200161
4
Germ-line mutations in the neurofibromatosis 2 gene: correlations with disease severity and retinal abnormalities.
1996159
5 1994160
6
Mutational analysis of patients with neurofibromatosis 2.
199491
7 199081
8
Clonal analysis of human meningiomas and schwannomas.
199019

About K Pulaski

K Pulaski is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism, Gastroenterology, Genetics and Rheumatology, having authored 8 papers that have together received 697 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (4 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Meningioma and schwannoma management (2 papers), Gastrointestinal Tumor Research and Treatment (1 paper), Genetic Syndromes and Imprinting (1 paper) and Sexual Differentiation and Disorders (1 paper). The work is most often cited by research in Neurology (395 citations), Endocrinology, Diabetes and Metabolism (239 citations), Rheumatology (147 citations), Epidemiology (287 citations) and Genetics (51 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, Muriel I. Kaiser‐Kupfer, James F. Gusella, Dilys M. Parry and H. Stacy Nicholson. 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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2026