Nina M. Muñoz

1.7k citations
29 papers · 1.3k indexed · h-index 19
Topics
TGF-β signaling in diseases (7 papers)Genetic factors in colorectal cancer (5 papers)Pancreatic and Hepatic Oncology Research (5 papers)

In The Last Decade

Nina M. Muñoz

29 papers receiving 1.3k citations

Peers

Nina M. Muñoz
Comparison fields: 5 of 113
  • Molecular Biology 660
  • Oncology 416
  • Biomedical Engineering 254
  • Genetics 176
  • Cancer Research 174
Replace Alfredo A. Molinolo with:
Alfredo A. Molinolo United States
Kyung‐Ju Choi South Korea
Ira Winer United States
Yohei Funakoshi Japan
Xianghua Wu China
M O'hare United Kingdom
Lou F. M. H. de Leij Netherlands
Quan P. Ly United States
H. J. Buhr Germany
Fanyan Meng China
Nina M. Muñoz relative to Alfredo A. Molinolo United States Alfredo A. Molinolo's profile →
Citations per field
00.5×1.5×2.3×
Alfredo A. Molinolo · 1×
Citations per year

Countries citing papers authored by Nina M. Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Nina M. Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina M. Muñoz. 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 Nina M. Muñoz. The network helps show where Nina M. Muñoz may publish in the future.

Co-authorship network of co-authors of Nina M. Muñoz

This figure shows the co-authorship network connecting the top 25 collaborators of Nina M. Muñoz. A scholar is included among the top collaborators of Nina M. Muñoz 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 Nina M. Muñoz. Nina M. Muñoz 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 5
2 12
3 37
4 32
5 4
6 20
7 7
8 19
9 18
10 27
11 40
12 180
13 6
14 51
15 82
16 8
17 21
18 350
19
An epidemiological study of precursor lesions of esophageal cancer among young persons in a high-risk population in Huixian, China.
64
20
Riboflavin, vitamin A and zinc status in Chinese subjects in a high-risk area for oesophageal cancer in China.
19

About Nina M. Muñoz

Nina M. Muñoz is a scholar working on Hepatology, Virology and Pathology and Forensic Medicine, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (7 papers), Genetic factors in colorectal cancer (5 papers) and Pancreatic and Hepatic Oncology Research (5 papers). The work is most often cited by research in Oncology (416 citations), Cancer Research (174 citations) and Molecular Biology (660 citations). Nina M. Muñoz has collaborated with scholars based in United States, South Africa and Germany. Frequent co-authors include William M. Grady, Lopa Mishra, Lior H. Katz, Jian Chen, Jiun‐Sheng Chen, Avijit Majumdar, Ying Li, Andrés Rojas, Raymond W. Sze and Miqin Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Gastroenterology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026