Shah Giashuddin

791 citations
25 papers · 572 · h-index 11

Impact in

Papers in

Shah Giashuddin

24 papers receiving 567 citations

Peers

Shah Giashuddin
Comparison fields: 5 of 76
  • Oncology 230
  • Pathology and Forensic Medicine 138
  • Cancer Research 110
  • Immunology 119
  • Molecular Biology 268
Replace Joo‐Shik Shin with:
Joo‐Shik Shin Australia
Margaret H. Veldman-Jones United Kingdom
Vito Gomes Italy
Alexander Gaber Sweden
Shotaro Fujita Japan
Kenji Kido Japan
Mateusz Olbromski Poland
In Ae Park South Korea
Timo Gemoll Germany
Haishan Zhao China
Shah Giashuddin relative to Joo‐Shik Shin Australia Joo‐Shik Shin's profile →
Citations per field
00.5×1.5×
Joo‐Shik Shin · 1×
Citations per year

Countries citing papers authored by Shah Giashuddin

Since Specialization
Citations

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

Fields of papers citing papers by Shah Giashuddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019122
2 201266
3 201750
4 201550
5 201048
6 201444
7 201738
8
The proteome signature of the inflammatory breast cancer plasma membrane identifies novel molecular markers of disease.
201627
9 201219
10 201615
11 200714
12 202210
13 201710
14 200810
15 201610
16 20218
17 20156
18 20116
19 20146
20 20054

About Shah Giashuddin

Shah Giashuddin is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Epidemiology, having authored 25 papers that have together received 572 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Tumors and Oncological Cases (3 papers), Pancreatitis Pathology and Treatment (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Fungal Infections and Studies (2 papers), Sarcoma Diagnosis and Treatment (2 papers) and Potassium and Related Disorders (2 papers). The work is most often cited by research in Oncology (230 citations), Pathology and Forensic Medicine (138 citations), Cancer Research (110 citations), Immunology (119 citations) and Molecular Biology (268 citations). Shah Giashuddin has collaborated with scholars based in United States, Grenada and Puerto Rico. Frequent co-authors include Rezina Arju, Robert J. Schneider, Abhilash Gadi, Viviana Volta, Judy Zhong, Beth Walters, Mark A. Subler, Jolene J. Windle, Chadia L. Robertson and Paul B. Fisher. Their work appears in journals such as Cancer Research, Clinical Breast Cancer, Journal of Vascular Surgery, Hepatology and Diagnostic Cytopathology.

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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