Dolly Katz

866 citations
27 papers · 522 · h-index 14

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 20
    • Pneumocystis jirovecii pneumonia detection and treatment 4
    • Mycobacterium research and diagnosis 3
    • Pneumonia and Respiratory Infections 3

Dolly Katz

26 papers receiving 501 citations

Peers

Dolly Katz
Comparison fields: 5 of 74
  • Infectious Diseases 305
  • Hepatology 49
  • Epidemiology 161
  • Parasitology 30
  • Food Science 50
Replace S Khare with:
S Khare India
Nirmal Kumar Mohakud India
Joana Gomes Dias Sweden
Susan Lance‐Parker United States
Levent Görenek Türkiye
Lester Calder New Zealand
Hasan Bhally New Zealand
Linda Booth United Kingdom
Hoonmo L. Koo United States
Ömer Faruk Kökoğlu Türkiye
Dolly Katz relative to S Khare India S Khare's profile →
Citations per field
00.5×7.3×
S Khare · 1×
Citations per year

Countries citing papers authored by Dolly Katz

Since Specialization
Citations

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

Fields of papers citing papers by Dolly Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200378
2 200146
3 201544
4 199842
5 201938
6 201835
7 200931
8 201431
9 201925
10 201523
11 200918
12 201518
13 201818
14 200616
15 202213
16 201511
17 202010
18 20215
19 20235
20 20193

About Dolly Katz

Dolly Katz is a scholar working on Infectious Diseases, Epidemiology, Surgery, General Health Professions and Endocrinology, Diabetes and Metabolism, having authored 27 papers that have together received 522 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (20 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Mycobacterium research and diagnosis (3 papers), Pneumonia and Respiratory Infections (3 papers), Infectious Diseases and Tuberculosis (2 papers), Diagnosis and treatment of tuberculosis (2 papers), Plant Disease Management Techniques (1 paper) and Toxoplasma gondii Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (305 citations), Hepatology (49 citations), Epidemiology (161 citations), Parasitology (30 citations) and Food Science (50 citations). Dolly Katz has collaborated with scholars based in United States, Israel and Uganda. Frequent co-authors include Randall Reves, Christine Ho, Omana V. Nainan, Gérard Krause, Mary Jo Trepka, Amy L. Davidow, Richard S. Hopkins, Steven Wiersma, Smita Ghosh and Edward A. Graviss. Their work appears in journals such as American Journal of Public Health, Clinical Infectious Diseases, The International Journal of Tuberculosis and Lung Disease, PEDIATRICS and Public Health Reports.

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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