Daniel D. Long

44 papers receiving 1.8k citations

Peers

Daniel D. Long
Comparison fields: 5 of 98
  • Parasitology 208
  • Virology 100
  • Endocrinology 103
  • Genetics 538
  • Infectious Diseases 314
Replace Sven C. M. Bruijns with:
Sven C. M. Bruijns Netherlands
Irma van Die Netherlands
Asif Mohmmed India
Douglass Wu United States
Paola Minóprio France
Andrew J. Reason United Kingdom
Vincenzo Enea United States
Kailash C. Pandey India
Tania F. de Koning‐Ward Australia
Angus Bell Ireland
Daniel D. Long relative to Sven C. M. Bruijns Netherlands Sven C. M. Bruijns's profile →
Citations per field
00.5×5.4×
Sven C. M. Bruijns · 1×
Citations per year

Countries citing papers authored by Daniel D. Long

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010290
2 2006198
3 2005156
4 2021125
5 1994114
6 200671
7 200870
8 199966
9 199953
10 200551
11 200750
12 200844
13 199843
14 200840
15 200239
16 199934
17 199832
18 200032
19 201031
20 202026

About Daniel D. Long

Daniel D. Long is a scholar working on Molecular Biology, Organic Chemistry, Surgery, Gastroenterology and Genetics, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (13 papers), Chemical Synthesis and Analysis (12 papers), Glycosylation and Glycoproteins Research (6 papers), Yersinia bacterium, plague, ectoparasites research (6 papers), Vector-borne infectious diseases (6 papers), Gastrointestinal motility and disorders (5 papers), Synthetic Organic Chemistry Methods (5 papers) and Anesthesia and Pain Management (4 papers). The work is most often cited by research in Parasitology (208 citations), Virology (100 citations), Endocrinology (103 citations), Genetics (538 citations) and Infectious Diseases (314 citations). Daniel D. Long has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Donald J. Gardner, B. Joseph Hinnebusch, Florent Sebbane, Clayton O. Jarrett, Daniel G. Marquess, George W. J. Fleet, Timothy D. W. Claridge, Martin D. Smith, Olaf Schneewind and Kevin R. Braughton. Their work appears in journals such as Tetrahedron Letters, Bioorganic & Medicinal Chemistry Letters, Journal of the Chemical Society Perkin Transactions 1, Infection and Immunity and Chemical Communications.

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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