J Jacobs

48 papers receiving 3.0k citations

J Jacobs's Hit Papers

Parathyroid hormonelike protein from human renal carcinoma cells. Structural and functional homology with parathyroid hormone. 1987 · 466 citations
4660+13+26Years since publication100200300400

Peers

J Jacobs
Comparison fields: 5 of 131
  • Immunology and Allergy 234
  • Oncology 744
  • Hematology 311
  • Nephrology 141
  • Orthopedics and Sports Medicine 157
Replace Pekka Kurki with:
Pekka Kurki Finland
Fumiki Hirahara Japan
Edna Mozes Israel
J.L.H. Evers Netherlands
Peter Donovan Australia
Yaakov Naparstek Israel
Åke Lundwall Sweden
R E Canfield United States
Motoki Osawa Japan
Yoshikazu Yonemitsu Japan
J Jacobs relative to Pekka Kurki Finland Pekka Kurki's profile →
Citations per field
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Pekka Kurki · 1×
Citations per year

Countries citing papers authored by J Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by J Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Parathyroid hormonelike protein from human renal carcinoma cells. Structural and functional homology with parathyroid hormone.
Hit paper breakdown →
1987466
2 1988335
3 1984303
4 1986258
5
Vitamin D levels in women with systemic lupus erythematosus and fibromyalgia.
2001144
6 1980142
7 1989138
8 1989134
9 1982131
10 1974108
11 1988102
12 198196
13 199875
14 198971
15 199270
16 198061
17 197457
18 197156
19 198251
20 197943

About J Jacobs

J Jacobs is a scholar working on Molecular Biology, Epidemiology, Surgery, Pharmacology and Cell Biology, having authored 50 papers that have together received 3.3k indexed citations. Recurring topics across this work include Respiratory viral infections research (6 papers), Pancreatic function and diabetes (6 papers), Venomous Animal Envenomation and Studies (5 papers), Leech Biology and Applications (5 papers), Healthcare and Venom Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Receptor Mechanisms and Signaling (3 papers) and Family Dynamics and Relationships (3 papers). The work is most often cited by research in Immunology and Allergy (234 citations), Oncology (744 citations), Hematology (311 citations), Nephrology (141 citations) and Orthopedics and Sports Medicine (157 citations). J Jacobs has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Paul A. Friedman, Joel F. Habener, Mark A. Polokoff, R J Gould, Ellen Simpson, Z. Gan, P. Kay Lund, Steven CH Leung, Robert A. Nissenson and Gordon J Strewler. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, American Journal of Psychiatry, Journal of Medical Microbiology and Endocrinology.

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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