Jing Hao

29 papers receiving 427 citations

Peers

Jing Hao
Comparison fields: 5 of 88
  • Genetics 171
  • Economics and Econometrics 83
  • Pathology and Forensic Medicine 81
  • Cancer Research 68
  • Pediatrics, Perinatology and Child Health 61
Replace Nava Siegelmann‐Danieli with:
Nava Siegelmann‐Danieli Israel
Stephanie L. Van Bebber United States
Nancy Reynoso‐Noverón Mexico
Melina L Willson Australia
Whay Kuang Chia Singapore
Adriano V. Laudico Philippines
Ellie Siden Canada
K. C. Chu China
Gurvaneet Randhawa United States
Lap‐Ming Wun United States
Jing Hao relative to Nava Siegelmann‐Danieli Israel Nava Siegelmann‐Danieli's profile →
Citations per field
00.5×4.9×
Nava Siegelmann‐Danieli · 1×
Citations per year

Countries citing papers authored by Jing Hao

Since Specialization
Citations

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

Fields of papers citing papers by Jing Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Hao. A scholar is included among the top collaborators of Jing Hao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Hao. Jing Hao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 14
4 8
5 9
6 3
7 13
8 15
9 11
10 76
11 15
12 44
13 29
14 8
15
Assessing Healthcare Utilization and Cost of Care Among Rheumatoid Arthritis Patients: A Comparison of Electronic Medical Records and Claims Data
1
16 1
17 1
18 0
19
[Protective effects of radix Salviae miltiorrhizae on azathioprine hepatotoxicity in rats].
4
20
SOME GENERAL RESULTS ON THE FIRST BOUNDARY VALUE PROBLEM FOR QUASILINEAR DEGENERATE PARABOLICE QUATIONS
3

About Jing Hao

Jing Hao is a scholar working on Pathology and Forensic Medicine, Cancer Research and Ecological Modeling, having authored 33 papers that have together received 440 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (9 papers), BRCA gene mutations in cancer (6 papers) and Cancer Genomics and Diagnostics (6 papers). The work is most often cited by research in Genetics (171 citations), Obstetrics and Gynecology (40 citations) and Cancer Research (68 citations). Jing Hao has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Marc S. Williams, Susan Snyder, Scott Spencer, Josh F. Peterson, David L. Veenstra, Daniel Maeng, Gregory F. Guzauskas, Laney K. Jones, John Bulger and Shawn Garbett. Their work appears in journals such as Annals of Internal Medicine, Journal of Cleaner Production and European Journal of Operational 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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