Massimo Bardi

2.0k citations
69 papers · 1.7k · h-index 28

Impact in

Papers in

Massimo Bardi

68 papers receiving 1.6k citations

Peers

Massimo Bardi
Comparison fields: 5 of 107
  • Behavioral Neuroscience 634
  • Social Psychology 1.1k
  • Developmental Biology 106
  • Biological Psychiatry 71
  • Small Animals 126
Replace Jules B. Panksepp with:
Jules B. Panksepp United States
Allyson J. Bennett United States
Timothy K. Newman United States
Caroline M. Coppens Netherlands
Maria Bernardete Cordeiro de Sousa Brazil
Sonia A. Cavigelli United States
Maribeth Champoux United States
Sylvia Kaiser Germany
Eric W. Fish United States
Benjamin C. Nephew United States
Massimo Bardi relative to Jules B. Panksepp United States Jules B. Panksepp's profile →
Citations per field
00.5×1.5×1.9×
Jules B. Panksepp · 1×
Citations per year

Countries citing papers authored by Massimo Bardi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Bardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002134
2 200681
3 200770
4 200459
5 200257
6 200352
7 201650
8 201150
9 201045
10 200144
11 200343
12 200138
13 200437
14 201736
15 200536
16 201834
17
Paternal experience and stress responses in California mice (Peromyscus californicus).
201132
18 201232
19 200332
20 200531

About Massimo Bardi

Massimo Bardi is a scholar working on Behavioral Neuroscience, Social Psychology, Endocrine and Autonomic Systems, Developmental Biology and Biological Psychiatry, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (37 papers), Neuroendocrine regulation and behavior (35 papers), Primate Behavior and Ecology (23 papers), Wildlife Ecology and Conservation (6 papers), Animal Behavior and Reproduction (6 papers), Circadian rhythm and melatonin (5 papers), Evolutionary Psychology and Human Behavior (5 papers) and Human-Animal Interaction Studies (5 papers). The work is most often cited by research in Behavioral Neuroscience (634 citations), Social Psychology (1.1k citations), Developmental Biology (106 citations), Biological Psychiatry (71 citations) and Small Animals (126 citations). Massimo Bardi has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Michael A. Huffman, Kelly Gurley Lambert, Silvana M. Borgognini‐Tarli, Keiko Shimizu, Craig Howard Kinsley, Akio Mori, Linda Brent, Jeffrey A. French, Molly M. Hyer and Matthew R. McLennan. Their work appears in journals such as Hormones and Behavior, American Journal of Primatology, Developmental Psychobiology, International Journal of Primatology and Primates.

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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