Daniel R. Jacobson

1.7k total citations
31 papers, 1.2k citations indexed

About

Daniel R. Jacobson is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Daniel R. Jacobson has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Oncology. Recurrent topics in Daniel R. Jacobson's work include Amyloidosis: Diagnosis, Treatment, Outcomes (22 papers), Cellular transport and secretion (7 papers) and Peptidase Inhibition and Analysis (7 papers). Daniel R. Jacobson is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (22 papers), Cellular transport and secretion (7 papers) and Peptidase Inhibition and Analysis (7 papers). Daniel R. Jacobson collaborates with scholars based in United States, Italy and France. Daniel R. Jacobson's 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 and has published in prestigious journals such as New England Journal of Medicine, Circulation and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Daniel R. Jacobson

31 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel R. Jacobson United States 15 965 296 242 215 200 31 1.2k
Bo-Göran Ericzon Sweden 10 608 0.6× 206 0.7× 106 0.4× 86 0.4× 134 0.7× 15 912
Masashi Haraguchi Japan 17 515 0.5× 189 0.6× 99 0.4× 108 0.5× 135 0.7× 40 1.1k
J Dämmrich Germany 16 448 0.5× 178 0.6× 87 0.4× 56 0.3× 194 1.0× 52 1.0k
F. Pontillon France 9 262 0.3× 71 0.2× 155 0.6× 56 0.3× 77 0.4× 11 606
Jun Mori United Kingdom 16 370 0.4× 123 0.4× 38 0.2× 40 0.2× 51 0.3× 18 1.1k
Edwige Tellier France 13 401 0.4× 79 0.3× 47 0.2× 123 0.6× 122 0.6× 25 786
Eun-Jin Yeo United States 8 482 0.5× 144 0.5× 124 0.5× 55 0.3× 20 0.1× 9 909
Roberta Bertelli Italy 18 356 0.4× 30 0.1× 728 3.0× 86 0.4× 28 0.1× 37 1.1k
Shin‐ichiro Iwakami Japan 14 255 0.3× 278 0.9× 22 0.1× 319 1.5× 26 0.1× 43 947
Kathleen M. Woods Ignatoski United States 19 420 0.4× 291 1.0× 32 0.1× 116 0.5× 45 0.2× 30 858

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
1.
Lam, Carol J., Daniel R. Jacobson, Matthew M. Rankin, Aaron R. Cox, & Jake A. Kushner. (2017). β Cells Persist in T1D Pancreata Without Evidence of Ongoing β-Cell Turnover or Neogenesis. The Journal of Clinical Endocrinology & Metabolism. 102(8). 2647–2659. 50 indexed citations
2.
3.
Pulte, Dianne, Eric Li, Bernard Crawford, et al.. (2005). Sentinel lymph node mapping and molecular staging in nonsmall cell lung carcinoma. Cancer. 104(7). 1453–1461. 16 indexed citations
4.
Alexander, Alice, et al.. (2004). Drop-In, Drop-Out Allele-Specific PCR: A Highly Sensitive, Single-Tube Method. Molecular Biotechnology. 28(3). 171–174. 6 indexed citations
5.
Tagoe, Clément E., Daniel R. Jacobson, Gloria Gallo, & Joel N. Buxbaum. (2003). Mice transgenic for human TTR have the same frequency of renal TTR deposition whether maintained in conventional or specific pathogen free environments. Amyloid. 10(4). 262–266. 6 indexed citations
6.
Vidal, Rubén, Jorge Ghiso, Asok Kumar, et al.. (2001). Amyloid and Nonfibrillar Deposits in Mice Transgenic for Wild-Type Human Transthyretin: A Possible Model for Senile Systemic Amyloidosis. Laboratory Investigation. 81(3). 385–396. 79 indexed citations
7.
Myers, Thomas J., Robert A. Kyle, & Daniel R. Jacobson. (1998). Familial amyloid with a transthyretin leucine 33 mutation presenting with ascites. American Journal of Hematology. 59(3). 249–251. 4 indexed citations
8.
Patrosso, M.C., Fabrizio Salvi, D. De Grandis, et al.. (1998). Novel transthyretin missense mutation (Thr34) in an Italian family with hereditary amyloidosis. American Journal of Medical Genetics. 77(2). 135–138. 10 indexed citations
9.
Jacobson, Daniel R., et al.. (1997). Variant-Sequence Transthyretin (Isoleucine 122) in Late-Onset Cardiac Amyloidosis in Black Americans. New England Journal of Medicine. 336(7). 466–473. 407 indexed citations
10.
Chou, C.-H., Cheng‐Chun Lee, Deh‐Ming Chang, Joel N. Buxbaum, & Daniel R. Jacobson. (1997). Familial amyloidosis in one Chinese family: clinical, immunological, and molecular genetic analysis. Journal of Internal Medicine. 241(4). 327–331. 10 indexed citations
11.
Jacobson, Daniel R., et al.. (1997). Transthyretin ILE20, a new variant associated with late-onset cardiac amyloidosis. Human Mutation. 9(1). 83–85. 13 indexed citations
12.
Alves, Isabel L., et al.. (1996). Transthyretin Ser6 as a neutral polymorphism in familial amyloidotic polyneuropathy. Amyloid. 3(4). 242–244. 7 indexed citations
13.
Jacobson, Daniel R., et al.. (1996). Revised transthyretin Ile 122 allele frequency in African-Americans. Human Genetics. 98(2). 236–238. 78 indexed citations
14.
Jacobson, Daniel R., Robert A. Kyle, & Joel N. Buxbaum. (1996). TTR Ile 20, a new variant associated with cardiac amyloidosis. Neuromuscular Disorders. 6. S18–S18. 1 indexed citations
15.
Kronzon, Itzhak, et al.. (1996). A 58-Year-Old Man With Shortness of Breath, Ascites, and Leg Edema. Circulation. 94(6). 1483–1488. 3 indexed citations
16.
Jacobson, Daniel R. & Joel N. Buxbaum. (1994). A double-variant transthyretin allele (SER 6, ILE 33) in the Israeli patient “SKO” with familial amyloidotic polyneuropathy. Human Mutation. 3(3). 254–260. 17 indexed citations
17.
Jacobson, Daniel R., Morie A. Gertz, & Joel N. Buxbaum. (1994). Transthyretin VAL107, a new variant associated with familial cardiac and neuropathic amyloidosis. Human Mutation. 3(4). 399–401. 10 indexed citations
18.
Jacobson, Daniel R. & Joel N. Buxbaum. (1991). Genetic Aspects of Amyloidosis. PubMed. 20. 69–123. 69 indexed citations
19.
Jacobson, Daniel R., Frances Santiago‐Schwarz, & Joel N. Buxbaum. (1988). Restriction fragment analysis confirms the position 33 mutation in transthyretin from an Israeli patient (SKO) with familial amyloidotic polyneuropathy. Biochemical and Biophysical Research Communications. 153(1). 198–202. 26 indexed citations
20.
Jacobson, Daniel R. & Susan Zolla‐Pazner. (1986). Immunosuppression and infection in multiple myeloma.. PubMed. 13(3). 282–90. 89 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026