Daniel Kuang

13 papers receiving 895 citations

Hit Papers

Quick and Easy Implementation of the Benjamini-Hochberg Procedure for Controlling the False Positive Rate in Multiple Comparisons 2002 · 724 citations
7242002202620102018200400600

Peers

Daniel Kuang
Comparison fields: 5 of 157
  • Geriatrics and Gerontology 66
  • Health Information Management 60
  • Family Practice 19
  • Medical Terminology 2
  • Clinical Psychology 133
Replace Sivia Barnoy with:
Sivia Barnoy Israel
VS Binu India
Elizabeth Cummings Australia
Dave S. Kerby United States
Helena Chmura Kraemer United States
Michael Treglia United States
Maartje Schermer Netherlands
Shannon L. Smith United States
Elizabeth B. Lynch United States
Anthony Ngugi Kenya
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20251
2 20251
3 20203
4 201212
5 20082
6
The College Board SAT® Writing Validation Study: An Assessment of Predictive and Incremental Validity. Research Report No. 2006-2.
20069
7 2006117
8 20069
9 20051
10 200546
11 20041
12
Work samples, performance tests, and competency testing.
20042
13
Quick and Easy Implementation of the Benjamini-Hochberg Procedure for Controlling the False Positive Rate in Multiple Comparisons
Hit paper breakdown →
2002724

About Daniel Kuang

Daniel Kuang is a scholar working on Geriatrics and Gerontology, Management Science and Operations Research, Health, Health Information Management and Soil Science, having authored 13 papers that have together received 928 indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (2 papers), Discourse Analysis in Language Studies (2 papers), Phosphorus and nutrient management (1 paper), Agriculture, Soil, Plant Science (1 paper), Emotional Labor in Professions (1 paper), Education and Critical Thinking Development (1 paper), Medical Education and Admissions (1 paper) and Electronic Health Records Systems (1 paper). The work is most often cited by research in Geriatrics and Gerontology (66 citations), Health Information Management (60 citations), Family Practice (19 citations), Medical Terminology (2 citations) and Clinical Psychology (133 citations). Daniel Kuang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Lynne Steinberg, David Thissen, Adrianne C. Feldstein, Stephen B. Soumerai, Richard Platt, David H. Smith, Nancy Perrin, Dean F. Sittig, Steven R. Simon and Xiuhai Yang. Their work appears in journals such as International Journal of Selection and Assessment, Plant and Soil, Physical review. B, Condensed matter, Journal of Family Issues and Geoderma.

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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