Michael J. Palumbo

1.7k citations
20 papers · 1.2k indexed · h-index 13
Topics
RNA and protein synthesis mechanisms (7 papers)Bacterial Genetics and Biotechnology (6 papers)Genomics and Chromatin Dynamics (6 papers)

In The Last Decade

Michael J. Palumbo

20 papers receiving 1.2k citations

Peers

Michael J. Palumbo
Comparison fields: 5 of 92
  • Molecular Biology 975
  • Genetics 276
  • Ecology 168
  • Plant Science 144
  • Food Science 124
Replace Igor Y. Morozov with:
Igor Y. Morozov United Kingdom
M.J. Flores France
Hattie Chung United States
Igor Y. Goryshin United States
Jens Kortmann Germany
Marie‐Françoise Noirot‐Gros France
Stephen McGrath Ireland
María Antonia Sánchez-Romero Spain
Alexander J. Meeske United States
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Michael J. Palumbo relative to Igor Y. Morozov United Kingdom Igor Y. Morozov's profile →
Citations per field
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Igor Y. Morozov · 1×
Citations per year

Countries citing papers authored by Michael J. Palumbo

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Palumbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Palumbo. 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 Michael J. Palumbo. The network helps show where Michael J. Palumbo may publish in the future.

Co-authorship network of co-authors of Michael J. Palumbo

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 41
2 8
3 101
4 41
5 39
6 41
7 76
8 5
9 51
10 6
11 81
12 4
13 152
14 62
15 12
16 73
17 10
18 373
19 55
20 1

About Michael J. Palumbo

Michael J. Palumbo is a scholar working on Molecular Biology, Genetics and Molecular Medicine, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Bacterial Genetics and Biotechnology (6 papers) and Genomics and Chromatin Dynamics (6 papers). The work is most often cited by research in Endocrinology (74 citations), Molecular Biology (975 citations) and Genetics (276 citations). Michael J. Palumbo has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Charles E. Lawrence, Wyeth W. Wasserman, William A. Thompson, James W. Fickett, Joseph T. Wade, Randall H. Morse, Jacquelyn S. Fetrow, Suraiya Anjum Ansari, Jun S. Liu and Keith M. Derbyshire. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

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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