Nathan Green

3.8k citations
83 papers · 1.4k · h-index 21

Impact in

Papers in

Nathan Green

77 papers receiving 1.3k citations

Peers

Nathan Green
Comparison fields: 5 of 174
  • Insect Science 168
  • Applied Microbiology and Biotechnology 26
  • Pulmonary and Respiratory Medicine 297
  • Infectious Diseases 165
  • Surgery 347
Replace Saverio Caini with:
Saverio Caini Italy
B. Lee Ligon United States
Susan E. Wilson United States
David L. Graham United States
Owen Bodger United Kingdom
Esteban Ortiz‐Prado Ecuador
Biobele J. Brown Nigeria
Libo Wang China
Cara Martin Ireland
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Citations per field
00.5×9.9×
Saverio Caini · 1×
Citations per year

Countries citing papers authored by Nathan Green

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021105
2 196195
3 197589
4 201578
5 201575
6 201956
7 198451
8 197544
9 202040
10 197340
11 196939
12 197837
13 201434
14 197628
15 195225
16 196724
17 198322
18 197122
19 198122
20
Lymphangitic carcinomatosis: lung scan abnormalities.
197622

About Nathan Green

Nathan Green is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Insect Science, Epidemiology and Infectious Diseases, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Insect and Pesticide Research (7 papers), Plant and animal studies (6 papers), Insect Pheromone Research and Control (5 papers), Tuberculosis Research and Epidemiology (5 papers), Insect Pest Control Strategies (5 papers), Prostate Cancer Treatment and Research (5 papers), Prostate Cancer Diagnosis and Treatment (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Insect Science (168 citations), Applied Microbiology and Biotechnology (26 citations), Pulmonary and Respiratory Medicine (297 citations), Infectious Diseases (165 citations) and Surgery (347 citations). Nathan Green has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include L. F. Steiner, William H. Kern, Morton Beroza, S. I. Gertler, Doris H. Miyashita, Frederick W. George, Samuel W. French, Jules A. Kernen, Sarah R Deeny and Julie V. Robotham. Their work appears in journals such as Journal of Economic Entomology, International Journal of Radiation Oncology*Biology*Physics, Radiology, Cancer and Science.

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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