Shen‐Long Howng

2.3k citations
131 papers · 1.9k indexed · h-index 24

Shen‐Long Howng

130 papers receiving 1.8k citations

Peers

Shen‐Long Howng
Comparison fields: 5 of 116
  • Neurology 412
  • Pathology and Forensic Medicine 247
  • Genetics 145
  • Cell Biology 196
  • Psychiatry and Mental health 153
Replace Michael Pike with:
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Yan Dong China
Tatsuo Kohriyama Japan
Aart‐Jan van der Lely Netherlands
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Hannu Tuominen Finland
Roumen Balabanov United States
Patricia Grabowski Germany
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Citations per year

Countries citing papers authored by Shen‐Long Howng

Since Specialization
Citations

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

Fields of papers citing papers by Shen‐Long Howng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shen‐Long Howng. 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 Shen‐Long Howng. The network helps show where Shen‐Long Howng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201527
2 20125
3 201218
4 201227
5 20112
6 20086
7 200810
8 20072
9 200624
10 200522
11 20045
12 20048
13 200312
14 20032
15 200023
16
Prognostic evaluation in supratentorial astrocytic tumors using p53, epidermal growth factor receptor, c-erbB-2 immunostaining.
199810
17 199825
18
Immunohistochemical demonstration with anti-bromodeoxyuridine monoclonal antibody in experimental meningeal carcinomatosis model.
19971
19
Expression of epidermal growth factor receptors and c-erbB-2 proteins in human astrocytic tumors.
199713
20 199516

About Shen‐Long Howng

Shen‐Long Howng is a scholar working on Neurology, Genetics and Cell Biology, having authored 131 papers that have together received 1.9k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (18 papers), Intracranial Aneurysms: Treatment and Complications (16 papers), Glioma Diagnosis and Treatment (15 papers), Pituitary Gland Disorders and Treatments (11 papers), Meningioma and schwannoma management (11 papers), Microtubule and mitosis dynamics (10 papers), Wnt/β-catenin signaling in development and cancer (9 papers) and Brain Metastases and Treatment (8 papers). The work is most often cited by research in Neurology (412 citations), Pathology and Forensic Medicine (247 citations) and Genetics (145 citations). Shen‐Long Howng has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Shiuh‐Lin Hwang, Aij‐Lie Kwan, Yi‐Ren Hong, Chih‐Lung Lin, Joon‐Khim Loh, Ann‐Shung Lieu, Ann‐Shung Lieu, Kung‐Shing Lee, Tai-Shan Cheng and Yu‐Feng Su. Their work appears in journals such as PLoS ONE, The FASEB Journal and Biochemical and Biophysical Research Communications.

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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