Anna J. Janss

5.3k citations
66 papers · 3.7k indexed · h-index 35

Impact in

  • Genetics top 0.5%
    • Glioma Diagnosis and Treatment
  • Neurology top 1%
    • Neuroblastoma Research and Treatments
    • Neurofibromatosis and Schwannoma Cases

Papers in

    • Glioma Diagnosis and Treatment 49
    • Neuroblastoma Research and Treatments 19

Anna J. Janss

64 papers receiving 3.6k citations

Peers

Anna J. Janss
Comparison fields: 5 of 97
  • Genetics 1.7k
  • Neurology 1.0k
  • Pathology and Forensic Medicine 643
  • Molecular Biology 2.0k
  • Endocrinology, Diabetes and Metabolism 334
Replace Junko Hirato with:
Junko Hirato Japan
Masao Matsutani Japan
Regina I. Jakacki United States
Sin‐Soo Jeun South Korea
Irene Slavc Austria
Marco Gessi Italy
Tomás Garzón-Muvdi United States
Dana Wallace United States
Norio Arita Japan
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Anna J. Janss relative to Junko Hirato Japan Junko Hirato's profile →
Citations per field
00.5×1.5×2.3×
Junko Hirato · 1×
Citations per year

Countries citing papers authored by Anna J. Janss

Since Specialization
Citations

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

Fields of papers citing papers by Anna J. Janss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna J. Janss. 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 Anna J. Janss. The network helps show where Anna J. Janss may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20217
2 201915
3 20149
4 201218
5 200982
6 20094
7 2008297
8 20081
9 200750
10 200450
11 2004199
12 200433
13 200343
14 2002164
15 200112
16 200111
17 2000138
18 199955
19 199829
20 19966

About Anna J. Janss

Anna J. Janss is a scholar working on Genetics, Neurology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Ophthalmology, having authored 66 papers that have together received 3.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (49 papers), Neuroblastoma Research and Treatments (19 papers), Meningioma and schwannoma management (11 papers), Brain Metastases and Treatment (8 papers), Sarcoma Diagnosis and Treatment (7 papers), Pituitary Gland Disorders and Treatments (7 papers), Chromatin Remodeling and Cancer (5 papers) and Cancer therapeutics and mechanisms (4 papers). The work is most often cited by research in Genetics (1.7k citations), Neurology (1.0k citations), Pathology and Forensic Medicine (643 citations), Molecular Biology (2.0k citations) and Endocrinology, Diabetes and Metabolism (334 citations). Anna J. Janss has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Peter C. Phillips∥, Lucy B. Rorke, Leslie N. Sutton, Jaclyn A. Biegel, Michael A. Grotzer, Roger J. Packer, L. Sutton, Jean B. Belasco, Amit Maity and Claire Mazewski. Their work appears in journals such as Neuro-Oncology, International Journal of Radiation Oncology*Biology*Physics, Pediatric Blood & Cancer, Cancer and Journal of Clinical Oncology.

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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