B. Gerstl

2.7k total citations · 1 hit paper
46 papers, 2.0k citations indexed

About

B. Gerstl is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, B. Gerstl has authored 46 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Pathology and Forensic Medicine. Recurrent topics in B. Gerstl's work include Tuberculosis Research and Epidemiology (4 papers), Mitochondrial Function and Pathology (3 papers) and Multiple Sclerosis Research Studies (3 papers). B. Gerstl is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), Mitochondrial Function and Pathology (3 papers) and Multiple Sclerosis Research Studies (3 papers). B. Gerstl collaborates with scholars based in United States. B. Gerstl's co-authors include Lawrence F. Eng, A. Bignami, Jean‐Jacques Vanderhaeghen, M. G. Tavaststjerna, Donald R. Pratt, Fu-Chuan Chao, James K. Smith, Raymond Yesner, Oscar Auerbach and Y.L. Lee and has published in prestigious journals such as Science, Annals of Internal Medicine and Gastroenterology.

In The Last Decade

B. Gerstl

43 papers receiving 1.8k citations

Hit Papers

An acidic protein isolated from fibrous astrocytes 1971 2026 1989 2007 1971 250 500 750 1000
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.

  1. An acidic protein isolated from fibrous astrocytes
    1971 1.0k citations Lawrence F. Eng, Jean‐Jacques Vanderhaeghen et al. Brain Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Gerstl United States 15 1.1k 372 336 308 271 46 2.0k
C. T. Uyeda United States 10 863 0.8× 438 1.2× 482 1.4× 180 0.6× 450 1.7× 13 1.7k
Sara Szuchet United States 22 823 0.7× 346 0.9× 506 1.5× 330 1.1× 501 1.8× 60 1.6k
Gladys E. Deibler United States 31 1.6k 1.4× 226 0.6× 360 1.1× 486 1.6× 168 0.6× 74 3.1k
Dennis A. Aquino United States 18 952 0.8× 420 1.1× 440 1.3× 288 0.9× 236 0.9× 26 1.8k
M W Kies United States 15 661 0.6× 160 0.4× 173 0.5× 150 0.5× 203 0.7× 30 1.6k
Harriet Coles United Kingdom 7 2.0k 1.8× 339 0.9× 798 2.4× 168 0.5× 827 3.1× 8 3.4k
Lajos László Hungary 27 1.8k 1.6× 705 1.9× 336 1.0× 633 2.1× 116 0.4× 74 2.7k
Isabelle Martinou Switzerland 17 2.9k 2.6× 99 0.3× 644 1.9× 195 0.6× 226 0.8× 19 3.7k
Stefan Bodmer Switzerland 18 1.2k 1.0× 740 2.0× 248 0.7× 157 0.5× 149 0.5× 23 2.9k
Ghanashyam D. Ghadge United States 24 1.2k 1.0× 199 0.5× 469 1.4× 323 1.0× 69 0.3× 48 2.0k

Countries citing papers authored by B. Gerstl

Since Specialization
Citations

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

Fields of papers citing papers by B. Gerstl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Gerstl

This figure shows the co-authorship network connecting the top 25 collaborators of B. Gerstl. A scholar is included among the top collaborators of B. Gerstl 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 B. Gerstl. B. Gerstl 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.
Gerstl, B. & Robert Tennant. (2019). Enzymes as Factors in Resistance to Tuberculosis1,2,3. American Review of Tuberculosis.
2.
Gerstl, B., et al.. (2011). Primary systemic amyloidosis. SpringerReference. 71(1). 36–36. 1 indexed citations
3.
Gerstl, B., et al.. (1998). Determination of polyunsaturated fatty acids of human red blood cells.. PubMed. 10. 76–87. 1 indexed citations
4.
Gerstl, B., Lawrence F. Eng, & John W. Bigbee. (1977). Tumor-associated immunoglobulins in pulmonary carcinoma.. PubMed. 37(12). 4449–55. 14 indexed citations
5.
Gerstl, B., et al.. (1976). Quantitative Microscopy of Epidermoid Lung Carcinoma: Correlation With Survival Time 2. JNCI Journal of the National Cancer Institute. 56(3). 463–469. 8 indexed citations
6.
Gerstl, B., et al.. (1974). Karyometry in the Estimation of Nuclear Population in Pulmonary Carcinomas2. JNCI Journal of the National Cancer Institute. 52(6). 1699–1704. 4 indexed citations
7.
Eng, Lawrence F., Jean‐Jacques Vanderhaeghen, A. Bignami, & B. Gerstl. (1971). An acidic protein isolated from fibrous astrocytes. Brain Research. 28(2). 351–354. 1012 indexed citations breakdown →
8.
Gerstl, B., et al.. (1970). LIPIDS AND PROTEINS IN MULTIPLE SCLEROSIS WHITE MATTER1. Journal of Neurochemistry. 17(5). 677–689. 73 indexed citations
9.
Uyeda, C. T., B. Gerstl, Lawrence F. Eng, & James K. Smith. (1969). Serum Immunoglobulins in Multiple Sclerosis Patients. Experimental Biology and Medicine. 131(4). 1138–1141. 6 indexed citations
10.
Gerstl, B., C. T. Uyeda, Lawrence F. Eng, Peter Bond, & J. Kevin Smith. (1969). Soluble proteins in normal and diseased human brains. Neurology. 19(10). 1019–1019. 13 indexed citations
11.
Gerstl, B., et al.. (1965). Lipids of Malignant Tumors. American Journal of Clinical Pathology. 43(4). 314–318. 6 indexed citations
12.
Gerstl, B., et al.. (1965). Morphological and neurochemical study of Pelizaeus-Merzbacher disease.. Journal of Neurology Neurosurgery & Psychiatry. 28(6). 540–547. 21 indexed citations
13.
Gerstl, B., et al.. (1962). Fatty acids of white matter of human brain. Cellular and Molecular Life Sciences. 18(3). 131–133. 14 indexed citations
14.
Gerstl, B., et al.. (1961). BRAIN LIPIDS IN MULTIPLE SCLEROSIS AND OTHER DISEASES. Brain. 84(2). 310–319. 45 indexed citations
15.
Gerstl, B., et al.. (1959). Effects of Dietary Fat upon Polyunsaturated Fatty Acids of Blood in Patients with Multiple Sclerosis.. Experimental Biology and Medicine. 100(3). 534–538. 2 indexed citations
16.
Gerstl, B., et al.. (1957). IN VIVO BREAKDOWN OF TUBERCLE BACILLI BY HOST TISSUE. Journal of Bacteriology. 73(3). 353–359. 1 indexed citations
17.
Jacobs, Lewis, B. Gerstl, A. Gerson Hollander, & Michael Berk. (1956). Intra-Abdominal Egg-Shell Calcifications Due to Silicosis. Radiology. 67(4). 527–530. 6 indexed citations
18.
Gerstl, B., et al.. (1955). Detection of apparently absent circulating antibodies in tuberculous sera.. PubMed. 72(3). 345–55. 3 indexed citations
19.
Gerstl, B., David Kirsh, William E. Davis, & Marzia Barbieri. (1954). Absence of Circulating Antibodies in Patients with Pulmonary Tuberculosis. Science. 120(3125). 853–854. 3 indexed citations
20.
Gerstl, B., et al.. (1953). PURE MITRAL INSUFFICIENCY OF RHEUMATIC ORIGIN IN ADULTS. Annals of Internal Medicine. 38(5). 981–1001. 9 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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