John K. Meissen

2.6k citations
16 papers · 1.7k indexed · 2 hit papers · h-index 13
Topics
Metabolomics and Mass Spectrometry Studies (5 papers)Diet and metabolism studies (4 papers)Liver Disease Diagnosis and Treatment (3 papers)

In The Last Decade

John K. Meissen

16 papers receiving 1.7k citations

Hit Papers

LipidBlast in silico tandem mass spectrometry database fo...201320262017202120132017200400600

Peers

John K. Meissen
Comparison fields: 5 of 119
  • Molecular Biology 1.1k
  • Spectroscopy 394
  • Physiology 248
  • Epidemiology 229
  • Endocrinology, Diabetes and Metabolism 197
Replace Megan R. Showalter with:
Megan R. Showalter United States
Donald G. Robertson United States
Carlos Guijas Spain
Mikko Katajamaa Finland
Ming‐Cheh Liu United States
Shu‐Ping Hui Japan
Lois D. Lehman‐McKeeman United States
Kouwa Yamashita Japan
Brian C. DeFelice United States
Masahito Suiko Japan
John K. Meissen relative to Megan R. Showalter United States Megan R. Showalter's profile →
Citations per field
00.5×20×40×60×87×
Megan R. Showalter · 1×
Citations per year

Countries citing papers authored by John K. Meissen

Since Specialization
Citations

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

Fields of papers citing papers by John K. Meissen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John K. Meissen. 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 John K. Meissen. The network helps show where John K. Meissen may publish in the future.

Co-authorship network of co-authors of John K. Meissen

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 4
2 17
3
Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformaticsbreakdown →
412
4 5
5 6
6 162
7 18
8 36
9 37
10
LipidBlast in silico tandem mass spectrometry database for lipid identificationbreakdown →
744
11 44
12 63
13 60
14 38
15 43
16 22

About John K. Meissen

John K. Meissen is a scholar working on Biochemistry, Physiology and Physiology, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Diet and metabolism studies (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Spectroscopy (394 citations), Molecular Biology (1.1k citations) and Biochemistry (104 citations). John K. Meissen has collaborated with scholars based in United States, Canada and Saudi Arabia. Frequent co-authors include Oliver Fiehn, Tobias Kind, Brian C. DeFelice, Kwang‐Hyeon Liu, Do Yup Lee, Kohei Takeuchi, Sajjan S. Mehta, Zijuan Lai, Peter A. Beal and Gert Wohlgemuth. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE and Analytical Chemistry.

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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