Daniel Widelock

728 citations
43 papers · 512 indexed · h-index 11
Topics
Tuberculosis Research and Epidemiology (18 papers)Mycobacterium research and diagnosis (9 papers)Diagnosis and treatment of tuberculosis (6 papers)
Partner nations
United StatesArgentina

In The Last Decade

Daniel Widelock

35 papers receiving 360 citations

Peers

Daniel Widelock
Comparison fields: 5 of 93
  • Infectious Diseases 184
  • Epidemiology 161
  • Rheumatology 79
  • Immunology 62
  • Molecular Biology 41
Replace J Laufer with:
J Laufer Israel
M. Jeddi Tunisia
N K Ganguly India
J Chrétien United States
E. M. Mackay‐Scollay Australia
B Galanti Italy
R. M. L. Mehrotra India
S Nardiello Italy
Helge Olsen Denmark
Nana Koram United States
Daniel Widelock relative to J Laufer Israel J Laufer's profile →
Citations per field
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J Laufer · 1×
Citations per year

Countries citing papers authored by Daniel Widelock

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Widelock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Widelock

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Widelock. A scholar is included among the top collaborators of Daniel Widelock based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Widelock. Daniel Widelock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
The influenza epidemic of 1957 and 1958.
1
2
The clinical laboratory improvement program in New York City. II. Progress after five years of experience.
5
3 1
4 1
5 1
6 52
7 4
8 7
9 20
10 2
11 2
12 5
13 9
14 3
15 7
16 5
17 3
18 8
19 2
20 11

About Daniel Widelock

Daniel Widelock is a scholar working on Infectious Diseases, Medical Laboratory Technology and Epidemiology, having authored 43 papers that have together received 512 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (18 papers), Mycobacterium research and diagnosis (9 papers) and Diagnosis and treatment of tuberculosis (6 papers). The work is most often cited by research in Infectious Diseases (184 citations), Rheumatology (79 citations) and Epidemiology (161 citations). Daniel Widelock has collaborated with scholars based in United States and Argentina. Frequent co-authors include Morris Siegel, Harold T. Fuerst, Malcolm Siegel, Stanley L. Lee, Gilbert J. Wise, Sandra Klein, Morris Schaeffer, Stanley Chun-Wei Lee, Bernard Davidow and Marjorie W. Schaeffer. Their work appears in journals such as New England Journal of Medicine, The Journal of Infectious Diseases and Clinical Chemistry.

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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