Nathan Back

55 papers receiving 795 citations

Peers

Nathan Back
Comparison fields: 5 of 120
  • Genetics 179
  • Hematology 126
  • Internal Medicine 30
  • Cancer Research 117
  • Biotechnology 66
Replace Erika Glusa with:
Erika Glusa Germany
Robert J. Leadley United States
Yasuhiro Uchida Japan
Kuniyoshi Tanaka Japan
John A. Schetz United States
Paul S. Satoh United States
Qun Chen United States
Kazuo Tomita Japan
Yasuhiro Maeda Japan
Domenico Barone Italy
Nathan Back relative to Erika Glusa Germany Erika Glusa's profile →
Citations per field
00.5×4.7×
Erika Glusa · 1×
Citations per year

Countries citing papers authored by Nathan Back

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Back

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Modern methods in pharmacology
1982153
2 1957106
3 196869
4 196463
5 196356
6 195842
7 197042
8 198325
9 195425
10
Studies of the carcinoid syndrome: its relationship to serotonin, bradykinin, and histamine.
196724
11 196522
12 196322
13 196818
14 198318
15 196116
16 197512
17 200512
18 197611
19 196211
20 196611

About Nathan Back

Nathan Back is a scholar working on Genetics, Molecular Biology, Immunology, Cancer Research and Oncology, having authored 58 papers that have together received 924 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (25 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Blood properties and coagulation (5 papers), Mast cells and histamine (4 papers), Peptidase Inhibition and Analysis (4 papers), Protease and Inhibitor Mechanisms (4 papers), Chemical Synthesis and Analysis (4 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). The work is most often cited by research in Genetics (179 citations), Hematology (126 citations), Internal Medicine (30 citations), Cancer Research (117 citations) and Biotechnology (66 citations). Nathan Back has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include Sydney Spector, Julian L. Ambrus, Gurrinder S. Bedi, Joseph E. Sokal, Clara M. Ambrus, Luciano Martini, Rodolfo Paoletti, William R. Wilcox, George Collins and Joseph L. Balwierczak. Their work appears in journals such as Advances in experimental medicine and biology, Biochemical Pharmacology, Annals of the New York Academy of Sciences, Circulation Research and Biochemical and Biophysical Research Communications.

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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