Daniel R. Jacobson

1.7k citations
31 papers · 1.2k indexed · h-index 15
Topics
Amyloidosis: Diagnosis, Treatment, Outcomes (22 papers)Cellular transport and secretion (7 papers)Peptidase Inhibition and Analysis (7 papers)
Partner nations
United StatesItalyFrance

In The Last Decade

Daniel R. Jacobson

31 papers receiving 1.2k citations

Peers

Daniel R. Jacobson
Comparison fields: 5 of 71
  • Molecular Biology 965
  • Oncology 296
  • Nephrology 242
  • Physiology 215
  • Cell Biology 200
Replace Bo-Göran Ericzon with:
Bo-Göran Ericzon Sweden
Masashi Haraguchi Japan
F. Pontillon France
J Dämmrich Germany
Edwige Tellier France
Roberta Bertelli Italy
Jun Mori United Kingdom
Eun-Jin Yeo United States
P Verroust France
Olivier Chambenoit United States
Daniel R. Jacobson relative to Bo-Göran Ericzon Sweden Bo-Göran Ericzon's profile →
Citations per field
00.5×1.5×2.5×
Bo-Göran Ericzon · 1×
Citations per year

Countries citing papers authored by Daniel R. Jacobson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Jacobson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Jacobson. 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 Daniel R. Jacobson. The network helps show where Daniel R. Jacobson may publish in the future.

Co-authorship network of co-authors of Daniel R. Jacobson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Jacobson. A scholar is included among the top collaborators of Daniel R. Jacobson 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 Daniel R. Jacobson. Daniel R. Jacobson 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 50
2 26
3 16
4 6
5 6
6 79
7 4
8 10
9 407
10 10
11 13
12 7
13 78
14 1
15 3
16 17
17 10
18 69
19 26
20
Immunosuppression and infection in multiple myeloma.
89

About Daniel R. Jacobson

Daniel R. Jacobson is a scholar working on Medical Laboratory Technology, Nephrology and Cell Biology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (22 papers), Cellular transport and secretion (7 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Nephrology (242 citations), Molecular Biology (965 citations) and Cell Biology (200 citations). Daniel R. Jacobson has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Joel N. Buxbaum, Raymond D. Pastore, Gloria Gallo, F Buck, Clément E. Tagoe, Susan Zolla‐Pazner, Alice Alexander, Aaron R. Cox, Matthew M. Rankin and Carol J. Lam. Their work appears in journals such as New England Journal of Medicine, Circulation and The Journal of Clinical Endocrinology & Metabolism.

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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