Hong Wei

517 citations
21 papers · 376 · h-index 9

Impact in

    • Sperm and Testicular Function
    • Plant Pathogenic Bacteria Studies
    • Plant-Microbe Interactions and Immunity
    • Legume Nitrogen Fixing Symbiosis

Papers in

Hong Wei

20 papers receiving 357 citations

Peers

Hong Wei
Comparison fields: 5 of 67
  • Reproductive Medicine 50
  • Plant Science 131
  • Immunology 67
  • Endocrinology 13
  • Genetics 61
Replace Tsilya Gerasimova with:
Tsilya Gerasimova United States
Edyta Szurek United States
Hui Wen China
Jieyan Pan United States
Igor V. Deyneko Germany
Zhenzhen Hou China
Kai‐Wei Yu China
Shikha Yadav India
Scott E. Diamond United States
José Luis Castrillo Spain
Hong Wei relative to Tsilya Gerasimova United States Tsilya Gerasimova's profile →
Citations per field
00.5×3.2×
Tsilya Gerasimova · 1×
Citations per year

Countries citing papers authored by Hong Wei

Since Specialization
Citations

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

Fields of papers citing papers by Hong Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A novel method for development of species and strain-specific DNA probes and PCR primers for identifying Burkholderia solanacearum (formerly Pseudomonas solanacearum)
1997129
2 2013103
3 200232
4 201226
5 200019
6 202115
7 201613
8
Application of transvaginal sonographic elastography to distinguish endometrial cancer from benign masses.
201911
9 200010
10 20234
11 20254
12 20212
13 20251
14 20221
15 20221
16 20231
17 20231
18 20211
19 20221
20 20211

About Hong Wei

Hong Wei is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 376 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (3 papers), Sperm and Testicular Function (3 papers), Reproductive Biology and Fertility (3 papers), Complement system in diseases (2 papers), Acute Myeloid Leukemia Research (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer Genomics and Diagnostics (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). The work is most often cited by research in Reproductive Medicine (50 citations), Plant Science (131 citations), Immunology (67 citations), Endocrinology (13 citations) and Genetics (61 citations). Hong Wei has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yutaka Fukui, V. Krishnapillai, Georgina E. Hollway, Mark Fegan, Andrew Hayward, Fiona Tavner, B. W. Holloway, Xiaqiong Wang, Zhigang Tian and H. Robson MacDonald. Their work appears in journals such as SpringerPlus, Frontiers in Immunology, The Journal of Experimental Medicine, Science Advances and The Breast.

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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