Daniel Mané‐Padrós

851 citations
13 papers · 694 · h-index 12

Impact in

Papers in

Daniel Mané‐Padrós

13 papers receiving 682 citations

Peers

Daniel Mané‐Padrós
Comparison fields: 5 of 65
  • Cellular and Molecular Neuroscience 297
  • Insect Science 200
  • Genetics 224
  • Immunology 122
  • Molecular Biology 316
Replace Tony W. Briers with:
Tony W. Briers Belgium
Saurabh Ghosh Roy United States
Dmitry I. Nurminsky United States
Alina Garbuzov United States
Erik Thomas Danielsen Denmark
Zhaolin Zhang China
Zhihao Yang China
Julieta A. Maldera Argentina
Kuang‐Hui Lu Taiwan
Elizabeth Tweedie Ables United States
Daniel Mané‐Padrós relative to Tony W. Briers Belgium Tony W. Briers's profile →
Citations per field
00.5×10×20×30×40×50×
Tony W. Briers · 1×
Citations per year

Countries citing papers authored by Daniel Mané‐Padrós

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mané‐Padrós

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Mané‐Padrós. 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 Daniel Mané‐Padrós. The network helps show where Daniel Mané‐Padrós may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2006104
2 200695
3 201292
4 200869
5 200863
6 201053
7 201952
8 201740
9 201137
10 201236
11 201130
12 201816
13 20177

About Daniel Mané‐Padrós

Daniel Mané‐Padrós is a scholar working on Cellular and Molecular Neuroscience, Genetics, Insect Science, Immunology and Molecular Biology, having authored 13 papers that have together received 694 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (8 papers), Insect and Arachnid Ecology and Behavior (5 papers), Insect Resistance and Genetics (4 papers), Invertebrate Immune Response Mechanisms (2 papers), Estrogen and related hormone effects (2 papers), Insect Utilization and Effects (2 papers), Genomics and Chromatin Dynamics (2 papers) and Complement system in diseases (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (297 citations), Insect Science (200 citations), Genetics (224 citations), Immunology (122 citations) and Molecular Biology (316 citations). Daniel Mané‐Padrós has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Josefa Cruz, David Martı́n, Xavier Bellés, Frances M. Sladek, Eugene Bolotin, Bin Fang, Claudia Nieva, Lluı̈sa Vilaplana, Tao Jiang and Alexander S. Raikhel. Their work appears in journals such as Developmental Biology, Molecular and Cellular Endocrinology, PLoS ONE, Developmental Dynamics and Nucleic Acids Research.

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