Lowell Tilzer

815 citations
39 papers · 604 · h-index 14

Impact in

Papers in

    • RNA and protein synthesis mechanisms 4
    • RNA Research and Splicing 3
    • Blood groups and transfusion 3
    • Acute Myeloid Leukemia Research 2

Lowell Tilzer

39 papers receiving 569 citations

Peers

Lowell Tilzer
Comparison fields: 5 of 100
  • Hematology 90
  • Endocrinology, Diabetes and Metabolism 103
  • Pharmacology 41
  • Genetics 131
  • Neurology 56
Replace Jeanne M. Sisk with:
Jeanne M. Sisk United States
J. W. Keyser United Kingdom
Jean André France
Debra A. Schultz United States
Nilufar M. Inamdar United States
Wim Van Molle Belgium
S. Vishnupriya India
Christine Masson France
Naomi Watanabe Japan
M C de Beer United States
Lowell Tilzer relative to Jeanne M. Sisk United States Jeanne M. Sisk's profile →
Citations per field
00.5×2.9×
Jeanne M. Sisk · 1×
Citations per year

Countries citing papers authored by Lowell Tilzer

Since Specialization
Citations

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

Fields of papers citing papers by Lowell Tilzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198289
2 198186
3 198949
4 199240
5 198934
6 198633
7 201424
8 201523
9 199219
10 199218
11 199216
12 200615
13 199615
14 197413
15 199213
16 198113
17
Different ionic forms of estrogen receptor in rat uterus and human breast carcinoma.
198111
18 198810
19 197510
20 19759

About Lowell Tilzer

Lowell Tilzer is a scholar working on Molecular Biology, Hematology, Biochemistry, Physiology and Genetics, having authored 39 papers that have together received 604 indexed citations. Recurring topics across this work include Blood transfusion and management (6 papers), Erythrocyte Function and Pathophysiology (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (3 papers), Blood groups and transfusion (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Acute Myeloid Leukemia Research (2 papers) and Clinical Laboratory Practices and Quality Control (2 papers). The work is most often cited by research in Hematology (90 citations), Endocrinology, Diabetes and Metabolism (103 citations), Pharmacology (41 citations), Genetics (131 citations) and Neurology (56 citations). Lowell Tilzer has collaborated with scholars based in United States, Lithuania and China. Frequent co-authors include Fred V. Plapp, Carol J. Fabian, Larry A. Sternson, James P. Evans, Masahiro Chiga, Kazuhiko Imakawa, Paul F. Terranova, María Sancho‐Tello, Ignacio Pérez‐Roger and Malcolm L. Beck. Their work appears in journals such as Analytical Biochemistry, Diagnostic Molecular Pathology, Nucleic Acids Research, Biochemical Pharmacology and Cancer.

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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