John G. Konrath

1.7k total citations · 1 hit paper
6 papers, 1.4k citations indexed

About

John G. Konrath is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, John G. Konrath has authored 6 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in John G. Konrath's work include HER2/EGFR in Cancer Research (5 papers), Estrogen and related hormone effects (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). John G. Konrath is often cited by papers focused on HER2/EGFR in Cancer Research (5 papers), Estrogen and related hormone effects (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). John G. Konrath collaborates with scholars based in United States. John G. Konrath's co-authors include Cox Eb, McCarty Ks, Miller Ls, Éva Szabó, Soper Jt, Creasman Wt, Geoffrey L. Greene, Kenneth S. McCarty, George S. Leight and Larry S. Miller and has published in prestigious journals such as Annals of Surgery, PubMed and Journal of Steroid Biochemistry.

In The Last Decade

John G. Konrath

6 papers receiving 1.4k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Estrogen receptor analyses. Correlation of biochemical and immunohistochemical methods using monoclonal antireceptor antibodies.

1985 882 citations McCarty Ks, Miller Ls et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John G. Konrath United States	6	671	506	430	356	180	6	1.4k
McCarty Ks United States	11	653 1.0×	528 1.0×	432 1.0×	355 1.0×	185 1.0×	16	1.5k
Miller Ls United States	6	450 0.7×	321 0.6×	275 0.6×	256 0.7×	106 0.6×	9	1.0k
C. Pallud France	18	700 1.0×	387 0.8×	479 1.1×	342 1.0×	110 0.6×	32	1.2k
M Brunet France	16	763 1.1×	471 0.9×	709 1.6×	326 0.9×	124 0.7×	26	1.5k
F. Spyratos France	23	1.0k 1.5×	906 1.8×	796 1.9×	389 1.1×	228 1.3×	52	2.0k
Nikita Makretsov Canada	14	593 0.9×	682 1.3×	380 0.9×	136 0.4×	164 0.9×	19	1.4k
Iris L. van Staveren Netherlands	22	968 1.4×	1.1k 2.1×	689 1.6×	467 1.3×	159 0.9×	25	1.9k
S. Fracchioli Italy	24	661 1.0×	938 1.9×	424 1.0×	143 0.4×	123 0.7×	36	2.1k
Elisabeth Mueller‐Holzner Austria	18	679 1.0×	1.5k 2.9×	523 1.2×	199 0.6×	118 0.7×	31	2.1k
Atul K. Tandon United States	13	906 1.4×	743 1.5×	652 1.5×	532 1.5×	138 0.8×	19	1.7k

Countries citing papers authored by John G. Konrath

Since Specialization

Citations

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

Fields of papers citing papers by John G. Konrath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John G. Konrath. 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 John G. Konrath. The network helps show where John G. Konrath may publish in the future.

Co-authorship network of co-authors of John G. Konrath

This figure shows the co-authorship network connecting the top 25 collaborators of John G. Konrath. A scholar is included among the top collaborators of John G. Konrath 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 John G. Konrath. John G. Konrath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

DeRosa, Carolyn, Luciano Ozzello, David V. Habif, John G. Konrath, & Geoffrey L. Greene. (1989). Immunohistochemical Assessment of Estrogen and Progesterone Receptors in Stored Imprints and Cryostat Sections of Breast Carcinomas. Annals of Surgery. 210(2). 224–228. 10 indexed citations

2.

Szabó, Éva, et al.. (1989). Immunocytochemical analysis of estrogen receptors as a predictor of prognosis in breast cancer patients: comparison with quantitative biochemical methods.. PubMed. 49(4). 1052–6. 140 indexed citations

3.

Ozzello, Luciano, et al.. (1986). Detection of estrophilin in frozen sections of breast cancers using an estrogen receptor immunocytochemical assay.. PubMed. 46(8 Suppl). 4303s–4307s. 21 indexed citations

4.

Ks, McCarty, Éva Szabó, Cox Eb, et al.. (1986). Use of a monoclonal anti-estrogen receptor antibody in the immunohistochemical evaluation of human tumors.. PubMed. 46(8 Suppl). 4244s–4248s. 363 indexed citations

5.

Ks, McCarty, et al.. (1985). Estrogen receptor analyses. Correlation of biochemical and immunohistochemical methods using monoclonal antireceptor antibodies.. PubMed. 109(8). 716–21. 882 indexed citations breakdown →

6.

Miller, Larry S. & John G. Konrath. (1984). An immunocytochemical assay for estrogen receptor in breast tumors using monoclonal antibodies. Journal of Steroid Biochemistry. 20(6). 1633–1633. 7 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.

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