Jorge M. Naciff

1.9k citations
35 papers · 1.2k indexed · h-index 23

Jorge M. Naciff

35 papers receiving 1.2k citations

Peers

Jorge M. Naciff
Comparison fields: 5 of 109
  • Health, Toxicology and Mutagenesis 383
  • Small Animals 136
  • Chemical Health and Safety 12
  • Computational Theory and Mathematics 185
  • Cancer Research 170
Replace Anthony R. Soames with:
Anthony R. Soames United Kingdom
Jeffrey C. Bemis United States
Johanna Zilliacus Sweden
Andrea Terron Italy
Nikolai L. Chepelev Canada
Raegan O’Lone United States
Neepa Choksi United States
Jui‐Hua Hsieh United States
E. Lok Canada
Albane le Maire France
Jorge M. Naciff relative to Anthony R. Soames United Kingdom Anthony R. Soames's profile →
Citations per field
00.5×8.2×
Anthony R. Soames · 1×
Citations per year

Countries citing papers authored by Jorge M. Naciff

Since Specialization
Citations

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

Fields of papers citing papers by Jorge M. Naciff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20203
2 201931
3 201810
4 201419
5 201222
6 201145
7 201023
8 201047
9 200822
10 200728
11 200579
12 200517
13 200515
14 200433
15 200428
16 20041
17 200457
18 2002142
19 20004
20 199131

About Jorge M. Naciff

Jorge M. Naciff is a scholar working on Health, Toxicology and Mutagenesis, Small Animals and Genetics, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (12 papers), Estrogen and related hormone effects (10 papers), Computational Drug Discovery Methods (6 papers), Molecular Biology Techniques and Applications (6 papers), Animal testing and alternatives (5 papers), Reproductive System and Pregnancy (5 papers), Gene expression and cancer classification (5 papers) and Carcinogens and Genotoxicity Assessment (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (383 citations), Small Animals (136 citations) and Chemical Health and Safety (12 citations). Jorge M. Naciff has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include George P. Daston, John Dedman, Jay P. Tiesman, Gregory J. Carr, Michael M. Behbehani, Gary J. Overmann, Karen Blackburn, Shengde Wu, Marcia A. Kaetzel and Cathy Lester. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Comparative Neurology.

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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