Kim Stanley

3.5k citations
47 papers · 1.9k · h-index 26

Impact in

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

Papers in

    • Tuberculosis Research and Epidemiology 30
    • Mycobacterium research and diagnosis 19
    • Pneumonia and Respiratory Infections 6

Kim Stanley

46 papers receiving 1.9k citations

Peers

Kim Stanley
Comparison fields: 5 of 108
  • Infectious Diseases 1.3k
  • Epidemiology 1.0k
  • Immunology 439
  • Microbiology 90
  • Applied Microbiology and Biotechnology 25
Replace Hannah P. Gideon with:
Hannah P. Gideon United States
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Xinhua Weng China
David O. Beenhouwer United States
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Kim Stanley relative to Hannah P. Gideon United States Hannah P. Gideon's profile →
Citations per field
00.5×2.8×
Hannah P. Gideon · 1×
Citations per year

Countries citing papers authored by Kim Stanley

Since Specialization
Citations

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

Fields of papers citing papers by Kim Stanley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010249
2 2008141
3 2009126
4 2009122
5 2016106
6 201669
7 200868
8 201258
9 201556
10 201655
11 201651
12 201350
13 200950
14 200949
15 201249
16 201345
17 201644
18 199935
19 202134
20 202131

About Kim Stanley

Kim Stanley is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and Immunology, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (30 papers), Mycobacterium research and diagnosis (19 papers), Infectious Diseases and Tuberculosis (8 papers), Immunodeficiency and Autoimmune Disorders (7 papers), vaccines and immunoinformatics approaches (7 papers), Pneumonia and Respiratory Infections (6 papers), Bacterial Infections and Vaccines (6 papers) and Diagnosis and treatment of tuberculosis (5 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Epidemiology (1.0k citations), Immunology (439 citations), Microbiology (90 citations) and Applied Microbiology and Biotechnology (25 citations). Kim Stanley has collaborated with scholars based in South Africa, United States and Netherlands. Frequent co-authors include Gerhard Walzl, Gillian F. Black, Novel N. Chegou, André G. Loxton, Shreemanta K. Parida, Stefan H. E. Kaufmann, Teri Roberts, Gian van der Spuy, Paul D. van Helden and Stephanus T. Malherbe. Their work appears in journals such as PLoS ONE, Clinical and Vaccine Immunology, Tuberculosis, Frontiers in Immunology and Oncotarget.

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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