Robab Katani

1.0k citations
36 papers · 655 · h-index 16

Impact in

    • Escherichia coli research studies
    • Tuberculosis Research and Epidemiology
    • Viral gastroenteritis research and epidemiology

Papers in

    • Viral gastroenteritis research and epidemiology 7
    • Tuberculosis Research and Epidemiology 5
    • Infectious Diseases and Mycology 5
    • Brucella: diagnosis, epidemiology, treatment 4

Robab Katani

30 papers receiving 650 citations

Peers

Robab Katani
Comparison fields: 5 of 64
  • Endocrinology 198
  • Infectious Diseases 258
  • Small Animals 78
  • Molecular Medicine 48
  • Microbiology 51
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Jiabo Ding China
P. L. Runnels United States
Susanne Hinkley United States
Darja Kušar Slovenia
L. F. F. Kox Netherlands
Patricio Retamal Chile
Luciana Fachini da Costa Brazil
Yuehua Ke China
Adrian L.M. Hodgson Australia
Qingmin Wu China
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Citations per field
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Citations per year

Countries citing papers authored by Robab Katani

Since Specialization
Citations

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

Fields of papers citing papers by Robab Katani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201687
2 202067
3 201447
4 201645
5 201844
6 201433
7 201631
8 201530
9 201427
10 201922
11 201722
12 201420
13 201517
14 201716
15 201716
16 201515
17 202114
18 201914
19 201714
20 201913

About Robab Katani

Robab Katani is a scholar working on Infectious Diseases, Small Animals, Endocrinology, Epidemiology and Food Science, having authored 36 papers that have together received 655 indexed citations. Recurring topics across this work include Escherichia coli research studies (11 papers), Mycobacterium research and diagnosis (9 papers), Viral gastroenteritis research and epidemiology (7 papers), Salmonella and Campylobacter epidemiology (5 papers), Tuberculosis Research and Epidemiology (5 papers), Infectious Diseases and Mycology (5 papers), Brucella: diagnosis, epidemiology, treatment (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Endocrinology (198 citations), Infectious Diseases (258 citations), Small Animals (78 citations), Molecular Medicine (48 citations) and Microbiology (51 citations). Robab Katani has collaborated with scholars based in United States, Tanzania and India. Frequent co-authors include Vivek Kapur, Megan A. Schilling, Chitrita DebRoy, John P. Bannantine, Joram Buza, Indira T. Kudva, Isabella M. Cattadori, Michael Mwangi, Elisabeth Roberts and Juan A. Raygoza Garay. Their work appears in journals such as PLoS ONE, Scientific Reports, Frontiers in Cellular and Infection Microbiology, Frontiers in Public Health and Frontiers in Genetics.

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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