H Peng

952 total citations
13 papers, 781 citations indexed

About

H Peng is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, H Peng has authored 13 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Epidemiology. Recurrent topics in H Peng's work include Molecular Biology Techniques and Applications (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Environmental Impact and Sustainability (2 papers). H Peng is often cited by papers focused on Molecular Biology Techniques and Applications (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Environmental Impact and Sustainability (2 papers). H Peng collaborates with scholars based in United Kingdom and China. H Peng's co-authors include Lingxiao Pan, P G Isaacson, Tim C. Diss, Nidhi Singh, TC Diss, Ming‐Qing Du, Lang Pan, Ming Du, PG Isaacson and P G Isaacson and has published in prestigious journals such as Blood, Applied Energy and International Journal of Cancer.

In The Last Decade

H Peng

12 papers receiving 767 citations

Peers

H Peng
Comparison fields: 5 of 63
  • Pathology and Forensic Medicine 591
  • Oncology 240
  • Genetics 191
  • Surgery 170
  • Immunology 159
Replace José R. Valbuena with:
José R. Valbuena United States
H K Müller‐Hermelink Germany
Tadashi Motoori Japan
Dimitra Anagnostou Greece
Jens Krugmann Austria
C. Bigorgne France
Pamela Tabaczka United States
Catherine Traullé France
J Sklar United States
James T. Sundeen United States
José R. Valbuena United States View profile →
Citations per field, relative to H Peng
H Peng · 1×
Citations per year, relative to H Peng
H Peng · 1×

Countries citing papers authored by H Peng

Since Specialization
Citations

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

Fields of papers citing papers by H Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H Peng

This figure shows the co-authorship network connecting the top 25 collaborators of H Peng. A scholar is included among the top collaborators of H Peng 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 H Peng. H Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 3
3 10
4 21
5 91
6
Immersion-histo polymerase chain reaction: a practical tool for visualization of single-copy genes in tissue sections.
5
7
Replication error phenotype and p53 gene mutation in lymphomas of mucosa-associated lymphoid tissue.
95
8
Ongoing mutation in MALT lymphoma immunoglobulin gene suggests that antigen stimulation plays a role in the clonal expansion.
152
9
High-resolution SSCP analysis using polyacrylamide agarose composite gel and a background-free silver staining method.
28
10 163
11 87
12 114
13 12

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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