Hong Han

3.6k total citations
57 papers, 1.8k citations indexed

About

Hong Han is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Hong Han has authored 57 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Epidemiology and 8 papers in Infectious Diseases. Recurrent topics in Hong Han's work include RNA Research and Splicing (6 papers), Milk Quality and Mastitis in Dairy Cows (5 papers) and MicroRNA in disease regulation (4 papers). Hong Han is often cited by papers focused on RNA Research and Splicing (6 papers), Milk Quality and Mastitis in Dairy Cows (5 papers) and MicroRNA in disease regulation (4 papers). Hong Han collaborates with scholars based in China, South Korea and Canada. Hong Han's co-authors include Teresa L. Yang‐Feng, Sammanda Ramamoorthy, Frederick H. Leibach, Rong Liang, Matthias A. Hediger, You‐Jun Fei, Puttur D. Prasad, Vadivel Ganapathy, P. M. Sears and Paul Lasko and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Hong Han

54 papers receiving 1.7k citations

Peers

Hong Han
Comparison fields: 5 of 115
  • Molecular Biology 915
  • Oncology 349
  • Cancer Research 320
  • Epidemiology 199
  • Infectious Diseases 188
Replace Xiaofeng Wang with:
Xiaofeng Wang China
Carol J. Detrisac United States
Katsuyuki Hashimoto Japan
Gladys Mirey France
Claire Summers United Kingdom
Xiao Xiao China
Krishnaraj Rajalingam Germany
Rui Wu China
María A. Álava Spain
Xiaofeng Wang China View profile →
Citations per field, relative to Hong Han
Hong Han · 1×
Citations per year, relative to Hong Han
Hong Han · 1×

Countries citing papers authored by Hong Han

Since Specialization
Citations

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

Fields of papers citing papers by Hong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Han

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Han. A scholar is included among the top collaborators of Hong Han 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 Hong Han. Hong Han 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
# Work Indexed citations
1 2
2 5
3 2
4 17
5 6
6 13
7 43
8 80
9 126
10
TGF-beta 2-Induced Invadosomes in Human Trabecular Meshwork Cells
1
11 11
12 1
13 44
14 18
15 91
16 28
17 1
18
Bacteriologic cure rates for bovine mastitiscases with no treatment or with eight different antibiotics
1
19 430
20 67

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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