Daniel López

5.2k citations
48 papers · 3.8k indexed · 1 hit paper · h-index 28

Impact in

Papers in

Daniel López

48 papers receiving 3.7k citations

Hit Papers

Biofilms 2010 · 602 citations
6022010202620152020200400600

Peers

Daniel López
Comparison fields: 5 of 146
  • Molecular Medicine 288
  • Microbiology 295
  • Endocrinology 231
  • Genetics 1.2k
  • Molecular Biology 2.6k
Replace Sigal Ben‐Yehuda with:
Sigal Ben‐Yehuda Israel
José Eduardo González‐Pastor Spain
Thorsten Mascher Germany
Philip J. Hill United Kingdom
Alain Dufour France
Teresa R. de Kievit Canada
Lothar Jänsch Germany
Gregory T. Robertson United States
Richard J. Lewis United Kingdom
Dirk‐Jan Scheffers Netherlands
Daniel López relative to Sigal Ben‐Yehuda Israel Sigal Ben‐Yehuda's profile →
Citations per field
00.5×1.5×
Sigal Ben‐Yehuda · 1×
Citations per year

Countries citing papers authored by Daniel López

Since Specialization
Citations

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

Fields of papers citing papers by Daniel López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20236
3 20239
4 202223
5 202245
6 201912
7 201838
8 201730
9 2017177
10 201729
11 201611
12 201534
13 201528
14 201438
15 2014161
16 201312
17 201022
18
Biofilms
Hit paper breakdown →
2010602
19 2009160
20 2009216

About Daniel López

Daniel López is a scholar working on Genetics, Infectious Diseases, Cell Biology, Endocrinology and Molecular Biology, having authored 48 papers that have together received 3.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (25 papers), Bacterial biofilms and quorum sensing (19 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Genomics and Phylogenetic Studies (11 papers), Caveolin-1 and cellular processes (8 papers), Bacteriophages and microbial interactions (6 papers), RNA and protein synthesis mechanisms (5 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Molecular Medicine (288 citations), Microbiology (295 citations), Endocrinology (231 citations), Genetics (1.2k citations) and Molecular Biology (2.6k citations). Daniel López has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Roberto Kolter, Hera Vlamakis, Richard Losick, Benjamin Mielich‐Süss, Gudrun Koch, Diego Romero, Matthew F. Traxler, Michael A. Fischbach, Frances Chu and Johannes Schneider. Their work appears in journals such as Microbiology, Nature Communications, Molecular Microbiology, FEMS Microbiology Reviews and Cell.

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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