Daniel Wall

6.4k citations
86 papers · 4.9k · h-index 40

Impact in

Papers in

    • RNA and protein synthesis mechanisms 11
    • Bacterial biofilms and quorum sensing 10
    • Genomics and Phylogenetic Studies 10
    • Bacterial Genetics and Biotechnology 23
    • Evolution and Genetic Dynamics 10

Daniel Wall

82 papers receiving 4.8k citations

Peers

Daniel Wall
Comparison fields: 5 of 135
  • Endocrinology 570
  • Geriatrics and Gerontology 172
  • Molecular Biology 3.3k
  • Genetics 1.2k
  • Molecular Medicine 187
Replace Byung‐Ha Oh with:
Byung‐Ha Oh South Korea
Brendan P. Cormack United States
Wolfgang Peti United States
J R Roth United States
Ambrish Roy United States
Rebecca Page United States
Timm Maier Switzerland
Edmund R.S. Kunji United Kingdom
Murray P. Deutscher United States
Se Won Suh South Korea
Daniel Wall relative to Byung‐Ha Oh South Korea Byung‐Ha Oh's profile →
Citations per field
00.5×3.5×
Byung‐Ha Oh · 1×
Citations per year

Countries citing papers authored by Daniel Wall

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999374
2 1994257
3 2006237
4 2009231
5 2000191
6 2008182
7 1996163
8 2009148
9 1996134
10 2011132
11 1994130
12 1999129
13 2005126
14 2006119
15 1995115
16 2006101
17 201295
18 199588
19 201687
20 201277

About Daniel Wall

Daniel Wall is a scholar working on Molecular Biology, Genetics, Endocrinology, Ecology and Spectroscopy, having authored 86 papers that have together received 4.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (23 papers), Vibrio bacteria research studies (16 papers), RNA and protein synthesis mechanisms (11 papers), Bacteriophages and microbial interactions (11 papers), Evolution and Genetic Dynamics (10 papers), Bacterial biofilms and quorum sensing (10 papers), Mass Spectrometry Techniques and Applications (10 papers) and Genomics and Phylogenetic Studies (10 papers). The work is most often cited by research in Endocrinology (570 citations), Geriatrics and Gerontology (172 citations), Molecular Biology (3.3k citations), Genetics (1.2k citations) and Molecular Medicine (187 citations). Daniel Wall has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Dale Kaiser, Costa Georgopoulos, Maciej Żylicz, Xueming Wei, Darshankumar T. Pathak, Christopher N. Vassallo, David M. Lubman, Pengbo Cao, Eric Nudleman and Yao Xiao. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, Molecular Microbiology, mBio and Rapid Communications in Mass Spectrometry.

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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