Kim N. Danforth

43 papers receiving 2.2k citations

Kim N. Danforth's Hit Papers

Recent Trends in the Identification of Incidental Pulmonary Nodules 2015 · 505 citations
5050+3+7Years since publication100200300400500

Peers

Kim N. Danforth
Comparison fields: 5 of 105
  • Rheumatology 584
  • Urology 185
  • Reproductive Medicine 142
  • Endocrine and Autonomic Systems 106
  • Pulmonary and Respiratory Medicine 474
Replace Carlo Magno with:
Carlo Magno Italy
Aruna V. Sarma United States
Hongwei Zhao China
Joshua A. Halpern United States
Shelley Niwa United States
Federico Dehò Italy
Claude Schulman Belgium
Jae Hung Jung South Korea
Hwancheol Son South Korea
Daniel M. Moreira United States
Kim N. Danforth relative to Carlo Magno Italy Carlo Magno's profile →
Citations per field
00.5×5.2×
Carlo Magno · 1×
Citations per year

Countries citing papers authored by Kim N. Danforth

Since Specialization
Citations

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

Fields of papers citing papers by Kim N. Danforth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recent Trends in the Identification of Incidental Pulmonary Nodules
Hit paper breakdown →
2015505
2 2006292
3 2007113
4 2009110
5 200798
6 200796
7 200783
8 200881
9 200778
10 200872
11 200772
12 200670
13 200863
14 200955
15 201254
16 201445
17 200833
18 201433
19 201231
20 201929

About Kim N. Danforth

Kim N. Danforth is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Rheumatology, Oncology and Molecular Biology, having authored 44 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (9 papers), Pelvic floor disorders treatments (6 papers), Estrogen and related hormone effects (4 papers), Cancer Risks and Factors (4 papers), Cancer, Lipids, and Metabolism (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Rheumatology (584 citations), Urology (185 citations), Reproductive Medicine (142 citations), Endocrine and Autonomic Systems (106 citations) and Pulmonary and Respiratory Medicine (474 citations). Kim N. Danforth has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Neil M. Resnick, Gary C. Curhan, Mary K. Townsend, Francine Grodstein, Bernard Rosner, Karen L. Lifford, Chengyi Zheng, Michael K. Gould, Janet Lee and In‐Lu Amy Liu. Their work appears in journals such as Cancer Causes & Control, The Journal of Urology, International Journal of Cancer, British Journal of Cancer and Journal of Clinical Oncology.

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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