Shuko Harada

2.9k citations
102 papers · 1.4k · h-index 22

Impact in

Papers in

Shuko Harada

98 papers receiving 1.4k citations

Peers

Shuko Harada
Comparison fields: 5 of 95
  • Cancer Research 236
  • Pathology and Forensic Medicine 209
  • Oncology 319
  • Genetics 95
  • Pulmonary and Respiratory Medicine 244
Replace Jason Kaplan with:
Jason Kaplan United States
Eiwa Ishida Japan
Changqing Ma United States
Raphaël Saffroy France
Enrico Ricevuto Italy
Eija Mahlamäki Finland
Stéphane Vignot France
Hanibal Bohnenberger Germany
Maria Luisa Veronese United States
Qi Xue China
Shuko Harada relative to Jason Kaplan United States Jason Kaplan's profile →
Citations per field
00.5×1.5×
Jason Kaplan · 1×
Citations per year

Countries citing papers authored by Shuko Harada

Since Specialization
Citations

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

Fields of papers citing papers by Shuko Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999101
2 201996
3 201751
4 199647
5 201945
6 201145
7 200344
8 199844
9 199344
10 202041
11 201632
12 201129
13 202028
14 201528
15 199528
16 199926
17 201324
18 199924
19 201124
20 202123

About Shuko Harada

Shuko Harada is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Cancer Research, having authored 102 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (13 papers), Pancreatic function and diabetes (8 papers), Cancer Genomics and Diagnostics (8 papers), Sarcoma Diagnosis and Treatment (8 papers), Renal cell carcinoma treatment (7 papers), Molecular Biology Techniques and Applications (7 papers), Renal and related cancers (5 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Cancer Research (236 citations), Pathology and Forensic Medicine (209 citations), Oncology (319 citations), Genetics (95 citations) and Pulmonary and Respiratory Medicine (244 citations). Shuko Harada has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Leonard Jarett, Diana Morlote, Robert M. Smith, Judith A. Smith, Ximeng Liu, Roger M. Smith, Rukhsana Hasan, Gene P. Siegal, Morris F. White and Alexander C. Mackinnon. Their work appears in journals such as Human Pathology, Modern Pathology, American Journal of Clinical Pathology, Endocrinology and The American Journal of Surgical Pathology.

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.

Explore authors with similar magnitude of impact