Huihui Ye

7.0k citations
78 papers · 1.8k · h-index 25

Impact in

Papers in

Huihui Ye

73 papers receiving 1.8k citations

Peers

Huihui Ye
Comparison fields: 5 of 91
  • Cancer Research 390
  • Pulmonary and Respiratory Medicine 766
  • Oncology 334
  • Endocrinology, Diabetes and Metabolism 141
  • Reproductive Medicine 71
Replace Isabel Heidegger with:
Isabel Heidegger Austria
David J. DeGraff United States
Coya Tapia Switzerland
Hiroya Oka Japan
Tuomas Mirtti Finland
Daniel H. Hovelson United States
Sounak Gupta United States
Matthew A. Smith United States
Fan Lin United States
Yan‐Gao Man United States
Huihui Ye relative to Isabel Heidegger Austria Isabel Heidegger's profile →
Citations per field
00.5×3.7×
Isabel Heidegger · 1×
Citations per year

Countries citing papers authored by Huihui Ye

Since Specialization
Citations

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

Fields of papers citing papers by Huihui Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014139
2 2016135
3 2017115
4 202186
5 200979
6 201978
7 200873
8
Molecular genetics of testicular germ cell tumors.
201271
9 201266
10 201764
11 201061
12 201952
13 201051
14 201249
15 201046
16 201845
17 201838
18 200437
19 201634
20 201733

About Huihui Ye

Huihui Ye is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Surgery and Cancer Research, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (34 papers), Prostate Cancer Diagnosis and Treatment (18 papers), Bladder and Urothelial Cancer Treatments (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Renal cell carcinoma treatment (5 papers), Renal and related cancers (4 papers), PARP inhibition in cancer therapy (4 papers) and Urinary and Genital Oncology Studies (4 papers). The work is most often cited by research in Cancer Research (390 citations), Pulmonary and Respiratory Medicine (766 citations), Oncology (334 citations), Endocrinology, Diabetes and Metabolism (141 citations) and Reproductive Medicine (71 citations). Huihui Ye has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Steven P. Balk, Adam G. Sowalsky, Glenn J. Bubley, Jonathan I. Epstein, Jonathan Melamed, Thomas M. Ulbright, Peng Lee, Changmeng Cai, Olga Voznesensky and Rachel Schaefer. Their work appears in journals such as Journal of Clinical Oncology, Human Pathology, Cancer Research, Modern Pathology and Clinical Cancer Research.

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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