Nicholas Kaczmar

858 citations
19 papers · 605 indexed · h-index 13
Topics
Remote Sensing in Agriculture (9 papers)Smart Agriculture and AI (6 papers)Genetic Mapping and Diversity in Plants and Animals (5 papers)
Journals
SHILAP Revista de lepidopterologíaGeneticsFrontiers in Plant Science
Partner nations
United StatesCanadaChina

In The Last Decade

Nicholas Kaczmar

19 papers receiving 588 citations

Peers

Nicholas Kaczmar
Comparison fields: 5 of 70
  • Plant Science 514
  • Ecology 210
  • Analytical Chemistry 117
  • Genetics 76
  • Molecular Biology 57
Replace Vincent Stoerger with:
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Pengcheng Hu China
Sanaz Jarolmasjed United States
Guangcun Li China
Vidyasagar Sathuvalli United States
Michael Pflanz Germany
Liliane Márcia Mertz-Henning Brazil
Ziyuan Hao China
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Citations per field
00.5×1.5×
Vincent Stoerger · 1×
Citations per year

Countries citing papers authored by Nicholas Kaczmar

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Kaczmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Kaczmar

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Kaczmar. A scholar is included among the top collaborators of Nicholas Kaczmar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicholas Kaczmar. Nicholas Kaczmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 2
3 2
4 5
5 13
6 13
7 12
8 39
9 13
10 35
11 16
12 15
13 30
14 75
15 89
16 87
17 122
18 34
19
Field testing of transgenic American elm (Ulmus americana L.) expressing an antimicrobial peptide transgene: Vascular anatomy and resistance to Ophiostoma novo-ulmi
2

About Nicholas Kaczmar

Nicholas Kaczmar is a scholar working on Biochemistry, Plant Science and Ecology, having authored 19 papers that have together received 605 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (9 papers), Smart Agriculture and AI (6 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). The work is most often cited by research in Plant Science (514 citations), Analytical Chemistry (117 citations) and Ecology (210 citations). Nicholas Kaczmar has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Michael A. Gore, Ethan L. Stewart, Rebecca Nelson, Chad DeChant, Harvey Wu, Hod Lipson, Tyr Wiesner‐Hanks, Edward S. Buckler, Matheus Baseggio and Margaret E. Smith. Their work appears in journals such as SHILAP Revista de lepidopterología, Genetics and Frontiers in Plant 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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