Jacob P. Laubach

18.5k citations
230 papers · 6.1k indexed · h-index 41
Topics
Multiple Myeloma Research and Treatments (189 papers)Protein Degradation and Inhibitors (106 papers)Peptidase Inhibition and Analysis (54 papers)
Partner nations
United StatesSpainFrance

In The Last Decade

Jacob P. Laubach

224 papers receiving 6.0k citations

Peers

Jacob P. Laubach
Comparison fields: 5 of 129
  • Hematology 3.9k
  • Molecular Biology 3.9k
  • Oncology 2.7k
  • Genetics 836
  • Immunology 760
Replace Nizar J. Bahlis with:
Nizar J. Bahlis Canada
Saad Z. Usmani United States
Peter M. Voorhees United States
Marc S. Raab Germany
A. Keith Stewart United States
Ajai Chari United States
Robert Schlossman United States
Stéphane de Botton France
María‐Victoria Mateos Spain
Rod Humerickhouse United States
Jacob P. Laubach relative to Nizar J. Bahlis Canada Nizar J. Bahlis's profile →
Citations per field
00.5×1.5×2.1×
Nizar J. Bahlis · 1×
Citations per year

Countries citing papers authored by Jacob P. Laubach

Since Specialization
Citations

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

Fields of papers citing papers by Jacob P. Laubach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob P. Laubach

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob P. Laubach. A scholar is included among the top collaborators of Jacob P. Laubach 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 Jacob P. Laubach. Jacob P. Laubach 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 1
2 4
3 1
4 8
5 2
6 17
7 17
8 26
9 5
10 79
11 14
12 26
13 47
14 16
15 24
16 73
17 122
18 19
19 19
20 4

About Jacob P. Laubach

Jacob P. Laubach is a scholar working on Hematology, Oncology and Genetics, having authored 230 papers that have together received 6.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (189 papers), Protein Degradation and Inhibitors (106 papers) and Peptidase Inhibition and Analysis (54 papers). The work is most often cited by research in Hematology (3.9k citations), Oncology (2.7k citations) and Genetics (836 citations). Jacob P. Laubach has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Paul G. Richardson, Kenneth C. Anderson, Nikhil C. Munshi, Teru Hideshima, Philippe Moreau, Noopur Raje, Jesús F. San Miguel, Sagar Lonial, Constantine S. Mitsiades and Dharminder Chauhan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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