J. Wahrman

1.2k citations
26 papers · 850 indexed · h-index 15
Topics
Chromosomal and Genetic Variations (6 papers)Genetic diversity and population structure (6 papers)Animal Ecology and Behavior Studies (4 papers)
Partner nations
IsraelUnited States

In The Last Decade

J. Wahrman

25 papers receiving 743 citations

Peers

J. Wahrman
Comparison fields: 5 of 80
  • Genetics 519
  • Molecular Biology 344
  • Plant Science 315
  • Ecology, Evolution, Behavior and Systematics 147
  • Ecology 119
Replace Meredith Gould‐Somero with:
Meredith Gould‐Somero United States
C. A. Redi Italy
W. Feichtinger Germany
Doris H. Wurster United States
R Matthey Switzerland
André Pires‐daSilva United States
D. L. Hayman Australia
Miguel Burgos Spain
Chizuko Nishida‐Umehara Japan
John H. Malone United States
J. Wahrman relative to Meredith Gould‐Somero United States Meredith Gould‐Somero's profile →
Citations per field
00.5×1.6×
Meredith Gould‐Somero · 1×
Citations per year

Countries citing papers authored by J. Wahrman

Since Specialization
Citations

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

Fields of papers citing papers by J. Wahrman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Wahrman

This figure shows the co-authorship network connecting the top 25 collaborators of J. Wahrman. A scholar is included among the top collaborators of J. Wahrman 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 J. Wahrman. J. Wahrman 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
#WorkIndexed citations
1 4
2 28
3 41
4
The Philadelphia chromosome in two children with chronic myeloid leukemia.
1
5 5
6 106
7 22
8 73
9 7
10 48
11 108
12
Mucocutaneous pigmentation and intestinal polyposis (Peutz-Jeghers syndrome) in a family of Iraqi jews with polycystic kidney disease. With a chromosome study.
5
13 13
14 6
15 16
16 53
17 8
18 58
19 33
20 15

About J. Wahrman

J. Wahrman is a scholar working on Genetics, Paleontology and Plant Science, having authored 26 papers that have together received 850 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (6 papers), Genetic diversity and population structure (6 papers) and Animal Ecology and Behavior Studies (4 papers). The work is most often cited by research in Genetics (519 citations), Paleontology (83 citations) and Plant Science (315 citations). J. Wahrman has collaborated with scholars based in Israel and United States. Frequent co-authors include Michael J. Friedlander, Carmelit Richler, Ruth Goitein, Alon Zahavi, Eviatar Nevo, Ada Rosenmann, R. Voss, I. Kornfield, B. Goldman and Uzi Ritte. Their work appears in journals such as Nature, Science and The Lancet.

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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