Lynn P. Nelles

587 citations
13 papers · 484 indexed · h-index 10
Topics
Chemical Synthesis and Analysis (2 papers)Glycosylation and Glycoproteins Research (2 papers)Advanced Proteomics Techniques and Applications (2 papers)
Partner nations
United StatesSouth Korea

In The Last Decade

Lynn P. Nelles

13 papers receiving 432 citations

Peers

Lynn P. Nelles
Comparison fields: 5 of 82
  • Molecular Biology 354
  • Cell Biology 77
  • Radiology, Nuclear Medicine and Imaging 52
  • Biomedical Engineering 48
  • Biotechnology 47
Replace P. Elaine Butler with:
P. Elaine Butler United Kingdom
Junji Umemoto Japan
Stephen V. Lair United States
Timothy M. Harrison United Kingdom
Jan B. L. DAMM Netherlands
M.T. Doel United Kingdom
John S. Baumstark United States
Denise Ochs United States
Per Hansen Denmark
C. Paul Germany
Lynn P. Nelles relative to P. Elaine Butler United Kingdom P. Elaine Butler's profile →
Citations per field
00.5×
P. Elaine Butler · 1×
Citations per year

Countries citing papers authored by Lynn P. Nelles

Since Specialization
Citations

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

Fields of papers citing papers by Lynn P. Nelles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynn P. Nelles. 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 Lynn P. Nelles. The network helps show where Lynn P. Nelles may publish in the future.

Co-authorship network of co-authors of Lynn P. Nelles

This figure shows the co-authorship network connecting the top 25 collaborators of Lynn P. Nelles. A scholar is included among the top collaborators of Lynn P. Nelles 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 Lynn P. Nelles. Lynn P. Nelles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 3
2 19
3 15
4 128
5 80
6 8
7 27
8 6
9 24
10 46
11 12
12 28
13 88

About Lynn P. Nelles

Lynn P. Nelles is a scholar working on Hematology, Biotechnology and Microbiology, having authored 13 papers that have together received 484 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Biotechnology (47 citations), Molecular Biology (354 citations) and Cell Biology (77 citations). Lynn P. Nelles has collaborated with scholars based in United States and South Korea. Frequent co-authors include James R. Bamburg, Philip K. Hall, Ronald C. Roberts, Doris A. Phelps, Motohiro Fuke, Koti Sreekrishna, Wayne W. Fish, Hans Peter Schnebli, Shih‐Bin Lin and W. Richard McCombie. Their work appears in journals such as Biochemistry, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

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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