David Litt

4.0k citations
83 papers · 2.2k indexed · 1 hit paper · h-index 24

David Litt

73 papers receiving 2.1k citations

Hit Papers

Invasive pneumococcal disease 3 years after introduction ...4920242026202510203040

Peers

David Litt
Comparison fields: 5 of 105
  • Microbiology 1.2k
  • Epidemiology 1.7k
  • Endocrinology 127
  • Infectious Diseases 357
  • Public Health, Environmental and Occupational Health 309
Replace Carmen Sheppard with:
Carmen Sheppard United Kingdom
Janet R. Gilsdorf United States
Kazunobu Ouchi Japan
Elisabeth E. Adderson United States
Carl Heinz Wirsing von König Germany
Edward B. Kaczmarski United Kingdom
Nicholas J. Andrews United Kingdom
Norman Begg United Kingdom
Hans Fredlund Sweden
Keith Cartwright United Kingdom
David Litt relative to Carmen Sheppard United Kingdom Carmen Sheppard's profile →
Citations per field
00.5×1.5×2.2×
Carmen Sheppard · 1×
Citations per year

Countries citing papers authored by David Litt

Since Specialization
Citations

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

Fields of papers citing papers by David Litt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20241
5
Invasive pneumococcal disease 3 years after introduction of a reduced 1 + 1 infant 13-valent pneumococcal conjugate vaccine immunisation schedule in England: a prospective national observational surveillance studybreakdown →
202449
6 20241
7 20232
8 20237
9 202213
10 202246
11 202115
12 201928
13 201710
14 201625
15 19921
16 19831
17 19822
18 19801
19 19781
20 19621

About David Litt

David Litt is a scholar working on Microbiology, Endocrinology and Epidemiology, having authored 83 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (58 papers), Bacterial Infections and Vaccines (38 papers), Respiratory viral infections research (26 papers), Diphtheria, Corynebacterium, and Tetanus (11 papers), Pneumocystis jirovecii pneumonia detection and treatment (11 papers), Infective Endocarditis Diagnosis and Management (11 papers), Influenza Virus Research Studies (8 papers) and Clostridium difficile and Clostridium perfringens research (8 papers). The work is most often cited by research in Microbiology (1.2k citations), Epidemiology (1.7k citations) and Endocrinology (127 citations). David Litt has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Norman K. Fry, Shamez Ladhani, Carmen Sheppard, Mary Ramsay, Timothy G. Harrison, Sarah Collins, Zahin Amin‐Chowdhury, Nick Andrews, Seyi Eletu and Mary Slack. Their work appears in journals such as Journal of Medical Microbiology, Eurosurveillance, Clinical Infectious Diseases, Journal of Infection and Anatolian Studies.

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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