Christopher D. Lima

14.5k citations
119 papers · 11.4k indexed · 3 hit papers · h-index 61

Christopher D. Lima

119 papers receiving 11.3k citations

Hit Papers

Ubiquitin-like Protein Conjug...4122000202620082017250500750

Peers

Christopher D. Lima
Comparison fields: 5 of 149
  • Molecular Biology 10.0k
  • Oncology 2.3k
  • Parasitology 494
  • Cell Biology 776
  • Cancer Research 702
Replace Frauke Melchior with:
Frauke Melchior Germany
Ross L. Stein United States
Huib Ovaa Netherlands
Rachel E. Klevit United States
M. Groll Germany
Ileana M. Cristea United States
Florian Gnad Germany
Masoud Vedadi Canada
Laura W. Murray United States
Byung‐Ha Oh South Korea
Christopher D. Lima relative to Frauke Melchior Germany Frauke Melchior's profile →
Citations per field
00.5×1.5×1.8×
Frauke Melchior · 1×
Citations per year

Countries citing papers authored by Christopher D. Lima

Since Specialization
Citations

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

Fields of papers citing papers by Christopher D. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher D. Lima. 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 Christopher D. Lima. The network helps show where Christopher D. Lima may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202414
2 202230
3 20215
4 201295
5 201182
6 201086
7 2009101
8 200823
9 200838
10 200870
11 200792
12 200640
13 200631
14 200521
15 200585
16 200471
17 2004135
18 2004119
19 2003176
20 20034

About Christopher D. Lima

Christopher D. Lima is a scholar working on Molecular Biology, Biochemistry and Parasitology, having authored 119 papers that have together received 11.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (41 papers), RNA Research and Splicing (41 papers), RNA and protein synthesis mechanisms (38 papers), RNA modifications and cancer (36 papers), Peptidase Inhibition and Analysis (15 papers), Biochemical and Molecular Research (12 papers), Cancer-related Molecular Pathways (8 papers) and Enzyme Structure and Function (8 papers). The work is most often cited by research in Molecular Biology (10.0k citations), Oncology (2.3k citations) and Parasitology (494 citations). Christopher D. Lima has collaborated with scholars based in United States, Poland and Spain. Frequent co-authors include David Reverter, Stewart Shuman, Elena Mossessova, Laurent Cappadocia, Quansheng Liu, Kurt Januszyk, L. María Lois, Ali A. Yunus, Allan D. Capili and Elizabeth V. Wasmuth. Their work appears in journals such as Molecular Cell, Cell, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Structure.

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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