Daniel B. Wall

86 papers receiving 5.3k citations

Peers

Daniel B. Wall
Comparison fields: 5 of 136
  • Endocrinology 596
  • Geriatrics and Gerontology 173
  • Molecular Biology 3.6k
  • Molecular Medicine 258
  • Genetics 1.4k
Replace Byung‐Ha Oh with:
Byung‐Ha Oh South Korea
Rebecca Page United States
Vivek Anantharaman United States
J R Roth United States
Nicholas Noinaj United States
Timm Maier Switzerland
Se Won Suh South Korea
Walid A. Houry Canada
Murray P. Deutscher United States
Brendan P. Cormack United States
Daniel B. Wall relative to Byung‐Ha Oh South Korea Byung‐Ha Oh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel B. Wall

Since Specialization
Citations

This map shows the geographic impact of Daniel B. 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 B. 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 B. Wall more than expected).

Fields of papers citing papers by Daniel B. Wall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002411
2 1999379
3 1994257
4 2006237
5 2009233
6 2000189
7 2008189
8 1996161
9 2009152
10 2011138
11 1996135
12 1999130
13 2005129
14 1994128
15 2006117
16 1995115
17 2006101
18 201296
19 201688
20 199587

About Daniel B. Wall

Daniel B. Wall is a scholar working on Endocrinology, Genetics, Molecular Biology, Ecology and Spectroscopy, having authored 87 papers that have together received 5.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (24 papers), Vibrio bacteria research studies (16 papers), Bacteriophages and microbial interactions (13 papers), Genomics and Phylogenetic Studies (10 papers), Bacterial biofilms and quorum sensing (10 papers), RNA and protein synthesis mechanisms (10 papers), Mass Spectrometry Techniques and Applications (10 papers) and Evolution and Genetic Dynamics (10 papers). The work is most often cited by research in Endocrinology (596 citations), Geriatrics and Gerontology (173 citations), Molecular Biology (3.6k citations), Molecular Medicine (258 citations) and Genetics (1.4k citations). Daniel B. Wall has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Dale Kaiser, Costa P. 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, Antimicrobial Agents and Chemotherapy 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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